U.S. patent number RE46,092 [Application Number 14/226,088] was granted by the patent office on 2016-08-02 for revenue sharing system that incentivizes content providers and registered users and includes payment processing.
The grantee listed for this patent is Daniel Redlich. Invention is credited to Daniel Redlich.
United States Patent |
RE46,092 |
Redlich |
August 2, 2016 |
Revenue sharing system that incentivizes content providers and
registered users and includes payment processing
Abstract
The computer-based method and system shares revenue with a
content provider and registered users. A web page has supplied
electronic content and ads with displays and hyperlinks to a
corresponding advertiser designated web site. Associated sales
referral fees are tracked based upon user click throughs. The
content provider is incentivized because the system shares the
associated sales referral fees with him based upon factors such as
frequency of posting content, quality rankings by users, gross
value referral fees, and page user-visitors. Registered
user-visitors are incentivized by providing each with N quality
ranking tokens and by sharing the referral fees with users who post
tokens on content. The QA ranking formula accounts for the quantity
of posted tokens, the sequential order of posting, the number of
user-visitors, and the referral fee to the content provider. The
fees are paid to debit card, credit card, or cell phone account
payment processors.
Inventors: |
Redlich; Daniel (Miami Beach,
FL) |
Applicant: |
Name |
City |
State |
Country |
Type |
Redlich; Daniel |
Miami Beach |
FL |
US |
|
|
Family
ID: |
56506602 |
Appl.
No.: |
14/226,088 |
Filed: |
March 26, 2014 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
Issue Date |
|
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12274668 |
Nov 20, 2008 |
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60989183 |
Nov 20, 2007 |
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Reissue of: |
12486863 |
Jun 18, 2009 |
8145526 |
Mar 27, 2012 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G06Q
30/02 (20130101); G06Q 30/0274 (20130101); G06Q
40/12 (20131203); G06Q 30/0239 (20130101); G06Q
30/0218 (20130101); G06Q 40/00 (20130101) |
Current International
Class: |
G06Q
30/00 (20120101); G06Q 30/02 (20120101) |
References Cited
[Referenced By]
U.S. Patent Documents
Other References
Provisional to Sharp, U.S. Appl. No. 61/169,155, filed Apr. 14,
2009. cited by examiner .
Capazoo Launches New Social Life Networking and Entertainment
Website that Transcends the Virtual.; PR Newswire; Oct. 22, 2007,
Author Unknown. cited by examiner.
|
Primary Examiner: Carlson; Jeffrey
Attorney, Agent or Firm: Kain, Jr.; Robert C.
Parent Case Text
The present application is a continuation-in-part patent
application of regular patent application Ser. No. 12/274,668 filed
Nov. 20, 2008, now pending, which claimed priority from and the
benefit of earlier filed provisional patent application Ser. No.
60/989,183 filed Nov. 20, 2007, the contents of both referenced
applications being incorporated herein by reference thereto.
Claims
What is claimed is:
1. A method of sharing revenue with a content provider supplying
electronic content .[.wherein some electronic content is.].
.Iadd.either .Iaddend.directly .[.supplied by said content provider
and some is preexisting provider controlled content from various.].
.Iadd.or from .Iaddend.third party .[.content.]. web sites and
wherein the supplied electronic content is .[.merged into.].
.Iadd.compiled in .Iaddend.a web page with advertisements relevant
to said content .[.and.]. .Iadd.or .Iaddend.advertisements relevant
to a user-visitor, said user-visitor being one user of a plurality
of registered users and non-registered users who view the
.[.merged.]. .Iadd.compiled .Iaddend.web page comprising:
maintaining a plurality of web pages; maintaining access to a
plurality of ads, said ads being content or user related
advertisements, each ad having content or user ad relational data
associated therewith and a respective ad display and hyperlink to a
corresponding advertiser designated web site; accepting .[.and
uploading, as.]. .Iadd.the .Iaddend.supplied electronic content.[.,
both direct supplied content and preexisting content from said
third party content web sites.].; determining from the supplied
electronic content and said user-visitor one or more content or
user relevancy factors related to one or more of: the supplied
content, the content provider, a predetermined user profile for
said content provider, a predetermined user group profile for said
content provider, .[.and.]. a referral source for said content
provider; a user-visitor session history; a predetermined
user-visitor profile; a predetermined user-visitor group profile;
and a referral source for said user-visitor; matching the
determined relevancy factors with said ad relational data;
.[.merging one.]. .Iadd.compiling the .Iaddend.web page with said
supplied electronic content.[.,.]. .Iadd.and .Iaddend.one or more
ads having matching relevancy factors .[.and.]. .Iadd.or
.Iaddend.ad relational data, wherein the matching ads have
respective ad displays and corresponding hyperlinks; and publishing
the .[.merged.]. .Iadd.compiled .Iaddend.web page on the Internet
.[.at an assigned Internet address.].; tracking associated sales
referral fees .Iadd.and ad revenue fees .Iaddend.made via a
user-visitor selected ad display and hyperlink from the
.[.merged.]. .Iadd.compiled .Iaddend.web page; sharing said
associated .[.sales referral.]. fees with said content provider
based upon a predetermined formula accounting for one or more of:
the supplied content, a gross value of said associated .[.sales
referral.]. fees set by said corresponding advertiser designated
web site, a frequency of posting other content supplied by said
content provider, a predetermined user-visitor profile, a
predetermined user-visitor group profile, a user-visitor referral
source, the number of user-visitors who go to the published web
page with the supplied content, a time of visit factor, per visit
or an aggregate thereof, for each user-visitor who goes to the
published web page with the supplied content, a frequency of return
to the published web page with the supplied content for each
user-visitor who returns to the published web page with the
supplied content, the shared .[.sales referral.]. .Iadd.associated
.Iaddend.fees transferred to one payment processor from the group
of processors including: a debit card account maintained by a
financial institution; a credit card account maintained by a
financial institution; a cell phone account maintained by a
telecommunications institution; an Internet-based payment
processor; a micropayment processor; and a virtual currency
processor; a plurality of registered user-visitors .[.each have a
predetermined number of.]. .Iadd.having .Iaddend.quality tokens
which tokens can be posted in conjunction with the supplied content
on said .[.merged.]. .Iadd.compiled .Iaddend.web page as an indicia
of quality for the content; sharing said associated .[.sales
referral.]. fees with some or all of registered user-visitors who
post quality tokens on quality branded content based upon a
predetermined quality ranking formula accounting for one or more
of: a quantity of posted tokens on branded content, a frequency of
posting quality tokens on all branded content, a gross value of
said associated sales referral fees set by said corresponding
advertiser designated web site, a sequential order of posting, by
registered user-visitors, of quality tokens on branded content, a
predetermined registered user-visitor profile, a predetermined
registered user-visitor group profile, the shared .[.sales
referral.]. .Iadd.associated .Iaddend.fee for said content provider
who supplied the branded content, the number of user-visitors who
go to the published web page with the supplied content, a time of
visit factor, per visit or an aggregate thereof, for each
user-visitor who goes to the published web page with the supplied
content, .Iadd.and.Iaddend. a frequency of return to the published
web page with the supplied content for each user-visitor who
returns to the published web page with the supplied content.
2. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 1 wherein the shared .[.registered user-visitor
sales referral.]. .Iadd.associated .Iaddend.fees transferred to one
payment processor from the group of processors including: a debit
card account maintained by a financial institution; a credit card
account maintained by a financial institution; a cell phone account
maintained by a telecommunications institution; an Internet-based
payment processor; a micropayment processor; and a virtual currency
processor.
3. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 2 wherein said content provider or one of said
registered user-visitors is designated as a transferor and the
method includes transferring the shared .[.sales referral.].
.Iadd.associated .Iaddend.fees from said transferor to one of
another registered user-visitor or another content provider.
4. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 2 wherein said content provider or one of said
registered user-visitors is designated as a charitable transferor
and the method includes transferring the shared .[.sales
referral.]. .Iadd.associated .Iaddend.fees from said charitable
transferor to a designated charity, designated by one or more
registered user-visitors or one or more content providers.
5. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 2 wherein the sharing said associated .[.sales
referral.]. fees with some or all of registered user-visitors who
post quality tokens is based upon the length of time posted tokens
remain on the content of the .[.merged.]. .Iadd.compiled
.Iaddend.web page.
6. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 1 including: incentivizing registered
user-visitors by providing each registered user-visitor with a
predetermined quantity of quality ranking tokens, by sharing said
associated .[.sales referral.]. fees with some or all of registered
user-visitors who post quality tokens in conjunction with content
on said merged web page based upon a predetermined quality ranking
formula.
7. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 6 wherein said predetermined quality ranking
formula accounts for the quantity of posted tokens, the sequential
order of posting and the number of user-visitors who go to the
published web page with the supplied content, and the shared
.[.sales referral.]. .Iadd.associated .Iaddend.fee for said content
provider who supplied the content subject to the posted quality
tokens.
8. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 2 wherein said predetermined quality ranking
formula accounts for the quantity of posted tokens, the sequential
order of .[.posting and.]. .Iadd.posting, .Iaddend.the number of
user-visitors who go to the published web page with the supplied
content, and the shared .[.sales referral.]. .Iadd.associated
.Iaddend.fee for said content provider who supplied the content
subject to the posted quality tokens.
9. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 8 wherein said content provider or one of said
registered user-visitors is designated as a transferor and the
method includes transferring the shared .[.sales referral.].
.Iadd.associated .Iaddend.fees from said transferor to one of
another registered user-visitor or another content provider.
10. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 9 wherein said content provider or one of said
registered user-visitors is designated as a charitable transferor
and the method includes transferring the shared .[.sales
referral.]. .Iadd.associated .Iaddend.fees from said charitable
transferor to a designated charity, designated by one or more
registered user-visitors or one or more content providers.
11. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 10 wherein the sharing said associated .[.sales
referral.]. fees with some or all of registered user-visitors who
post quality tokens is based upon the length of time posted tokens
remain on the content of the .[.merged.]. .Iadd.compiled
.Iaddend.web page.
12. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 1 wherein the transfer to said one payment
processor is subject to a transaction fee and predetermined
monetary thresholds.
13. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 11 wherein the transfer to said one payment
processor is subject to a transaction fee and predetermined
monetary thresholds.
14. A method of sharing revenue with a content provider supplying
electronic content .[.wherein some electronic content is.].
.Iadd.either .Iaddend.directly .[.supplied by said content provider
and some is preexisting provider controlled content from various.].
.Iadd.or from .Iaddend.third party .[.content.]. web sites and
wherein the supplied electronic content is .[.merged into.].
.Iadd.compiled in .Iaddend.a web page with advertisements relevant
to said content .[.and.]. .Iadd.or .Iaddend.advertisements relevant
to a user-visitor, said user-visitor being one user of a plurality
of registered users and non-registered users who view the
.[.merged.]. .Iadd.compiled .Iaddend.web page comprising:
maintaining a plurality of web pages; maintaining access to a
plurality of ads, said ads being content or user related
advertisements, each ad having content or user ad relational data
associated therewith and a respective ad display and hyperlink to a
corresponding advertiser designated web site; accepting .[.and
uploading, as.]. .Iadd.the .Iaddend.supplied electronic content.[.,
both direct supplied content and preexisting content from said
third party content web sites.].; determining from the supplied
electronic content and said user-visitor one or more content or
user relevancy factors related to one or more of: the supplied
content, the content provider, a predetermined user profile for
said content provider, a predetermined user group profile for said
content provider, .[.and.]. a referral source for said content
provider; a user-visitor session history; a predetermined
user-visitor profile; a predetermined user-visitor group profile;
and a referral source for said user-visitor; matching the
determined relevancy factors with said ad relational data;
.[.merging one.]. .Iadd.compiling the .Iaddend.web page with said
supplied electronic content.[.,.]. .Iadd.and .Iaddend.one or more
ads having matching relevancy factors and ad relational data,
wherein the matching ads have respective ad displays and
corresponding hyperlinks; .[.and.]. publishing the .[.merged.].
.Iadd.compiled .Iaddend.web page on the Internet .[.at an assigned
Internet address.].; tracking associated sales referral fees
.Iadd.and ad revenue fees .Iaddend.made via a user-visitor selected
ad display and hyperlink from the .[.merged.]. .Iadd.compiled
.Iaddend.web page; incentivizing the content provider who supplied
content to the .[.merged.]. .Iadd.compiled .Iaddend.web page by
sharing said associated .[.sales referral.]. fees with said content
provider based upon a predetermined formula accounting for
.Iadd.one or more of: .Iaddend.a frequency of posting other content
supplied by said content provider, quality rankings posted by
registered user-visitors, a gross value of said associated .[.sales
referral.]. fees set by said corresponding advertiser designated
web site, and the number of user-visitors who go to the
.[.published.]. .Iadd.compiled .Iaddend.web page .[.with the
supplied content.].; incentivizing registered user-visitors by
providing .[.each.]. registered .[.user-visitor.].
.Iadd.user-visitors .Iaddend.with .[.a predetermined quantity of.].
quality ranking tokens, .Iadd.and .Iaddend.by sharing said
associated .[.sales referral.]. fees with some or all of registered
user-visitors who post quality tokens in conjunction with content
on said .[.merged.]. .Iadd.compiled .Iaddend.web page based upon a
predetermined quality ranking formula accounting for .Iadd.one or
more of: .Iaddend.the quantity of posted tokens, the sequential
order of posting .[.and.]..Iadd., .Iaddend.the number of
user-visitors who go to the published web page with the supplied
content, and the shared .[.sales referral.]. .Iadd.associated
.Iaddend.fee for said content provider .[.who supplied the content
subject to the posted quality tokens.].; the shared .[.sales
referral.]. .Iadd.associated .Iaddend.fees transferred, under the
control of the incentivized content provider or incentivized
registered user-visitors, to one payment processor from the group
of processors, designated by said respective incentivized content
providers or registered user-visitors, including: a debit card
account maintained by a financial institution; a credit card
account maintained by a financial institution; a cell phone account
maintained by a telecommunications institution; an Internet-based
payment processor; a micropayment processor; and a virtual currency
processor; wherein the sharing .Iadd.of .Iaddend.said associated
.[.sales referral.]. fees with said content provider and some or
all of registered user-visitors who post quality tokens is based
upon the length of time posted tokens remain on the content of the
.[.merged.]. .Iadd.compiled .Iaddend.web page.
15. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 14 wherein said content provider or one of said
registered user-visitors is designated as a transferor and the
method includes transferring a designated portion of the shared
.[.sales referral.]. .Iadd.associated .Iaddend.fees from said
transferor to one of another registered user-visitor or another
content provider.
16. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 15 wherein said content provider or one of said
registered user-visitors is designated as a charitable transferor
and the method includes transferring a designated charitable
portion of the shared .[.sales referral.]. .Iadd.associated
.Iaddend.fees from said charitable transferor to a designated
charity, designated by one or more registered user-visitors or one
or more content providers.
17. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 16 wherein the transfer to said one payment
processor is subject to a transaction fee and predetermined
monetary thresholds.
18. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 14 wherein the transfer to said one payment
processor is subject to a transaction fee and predetermined
monetary thresholds.
19. A method of sharing revenue with a content provider supplying
electronic content .[.wherein some electronic content is.].
.Iadd.either .Iaddend.directly .[.supplied by said content provider
and some is preexisting provider controlled content from various.].
.Iadd.or from .Iaddend.third party .[.content.]. web sites and
wherein the supplied electronic content is .[.merged.].
.Iadd.compiled .Iaddend.into a web page with advertisements
relevant to said content .[.and.]. .Iadd.or .Iaddend.advertisements
relevant to a user-visitor, each ad having a respective ad display
and hyperlink to a corresponding advertiser designated web site,
said user-visitor being one user of a plurality of registered users
and non-registered users who view the .[.merged.]. .Iadd.compiled
.Iaddend.web page comprising: publishing a web page with said
supplied electronic content and one or more ads having respective
ad displays and corresponding hyperlinks on the Internet at an
assigned Internet address; tracking associated sales referral fees
.Iadd.and ad revenue fees .Iaddend.made via a user-visitor selected
ad display and hyperlink from the published web page; incentivizing
the content provider who supplied content to the published web page
by sharing said associated .[.sales referral.]. fees with said
content provider based upon a predetermined formula accounting for
a frequency of posting other content supplied by said content
provider, quality rankings posted by registered user-visitors, a
gross value of said associated .[.sales referral.]. fees set by
said corresponding advertiser designated web site, and the number
of user-visitors who go to the published web page with the supplied
content; incentivizing registered user-visitors by providing
.[.each.]. registered .[.user-visitor.]. .Iadd.user-visitors
.Iaddend.with .[.a predetermined quantity of.]. quality ranking
tokens, .Iadd.and .Iaddend.by sharing said associated .[.sales
referral.]. fees with some or all of registered user-visitors who
post quality tokens in conjunction with content on said published
web page based upon a predetermined quality ranking formula
accounting for .Iadd.one or more of: .Iaddend.the quantity of
posted tokens, the sequential order of posting .[.and.]..Iadd.,
.Iaddend.the number of user-visitors who go to the published web
page with the supplied content, and the shared .[.sales referral.].
.Iadd.associated .Iaddend.fee for said content provider .[.who
supplied the content subject to the posted quality tokens.].; the
shared .[.sales referral.]. .Iadd.associated .Iaddend.fees
transferred, under the control of the incentivized content provider
or incentivized registered user-visitors, to one payment processor
from the group of processors, designated by said respective
incentivized content providers or registered user-visitors,
including: a debit card account maintained by a financial
institution; a credit card account maintained by a financial
institution; a cell phone account maintained by a
telecommunications institution; an Internet-based payment
processor; a micropayment processor; and a virtual currency
processor; wherein the sharing .Iadd.of .Iaddend.said associated
.[.sales referral.]. fees with said content provider and some or
all of registered user-visitors who post quality tokens is based
upon the length of time posted tokens remain on the content of the
published web page.
20. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 19 wherein said content provider or one of said
registered user-visitors is designated as a transferor and the
method includes transferring a designated portion of the shared
.[.sales referral.]. .Iadd.associated .Iaddend.fees from said
transferor to one of another registered user-visitor or another
content provider.
21. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 20 wherein said content provider or one of said
registered user-visitors is designated as a charitable transferor
and the method includes transferring a designated charitable
portion of the shared .[.sales referral.]. .Iadd.associated
.Iaddend.fees from said charitable transferor to a designated
charity, designated by one or more registered user-visitors or one
or more content providers.
22. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 21 wherein the transfer to said one payment
processor is subject to a transaction fee and predetermined
monetary thresholds.
23. A method of sharing revenue .[.with a content provider.]. as
claimed in claim 19 wherein the transfer to said one payment
processor is subject to a transaction fee and predetermined
monetary thresholds.
24. A non-transitory computer readable medium containing
programming instructions stored thereon for sharing revenue with a
content provider supplying electronic content wherein some
electronic content is directly supplied by said content provider
and some is preexisting provider controlled content from various
third party content web sites and wherein the supplied electronic
content is merged into a web page with advertisements relevant to
said content and advertisements relevant to a user-visitor, each ad
having a respective ad display and hyperlink to a corresponding
advertiser designated web site, said user-visitor being one user of
a plurality of registered users and non-registered users who view
the merged web page, the programming instructions comprising:
.Iadd.instructions for:.Iaddend. publishing a web page with said
supplied electronic content and one or more ads having respective
ad displays and corresponding hyperlinks on the Internet at an
assigned Internet address; tracking associated sales referral fees
made via a user-visitor selected ad display and hyperlink from the
published web page; incentivizing the content provider who supplied
content to the published web page by sharing said associated sales
referral fees with said content provider based upon a predetermined
formula accounting for a frequency of posting other content
supplied by said content provider, quality rankings posted by
registered user-visitors, a gross value of said associated sales
referral fees set by said corresponding advertiser designated web
site, and the number of user-visitors who go to the published web
page with the supplied content; incentivizing registered
user-visitors by providing each registered user-visitor with a
predetermined quantity of quality ranking tokens, by sharing said
associated sales referral fees with some or all of registered
user-visitors who post quality tokens in conjunction with content
on said published web page based upon a predetermined quality
ranking formula accounting for the quantity of posted tokens, the
sequential order of posting and the number of user-visitors who go
to the published web page with the supplied content, and the shared
sales referral fee for said content provider who supplied the
content subject to the posted quality tokens; the shared sales
referral fees .Iadd.to be .Iaddend.transferred .Iadd.per the
programming instructions.Iaddend., under the control of the
incentivized content provider or incentivized registered
user-visitors, to one payment processor from the group of
processors, designated by said respective incentivized content
providers or registered user-visitors, including: a debit card
account maintained by a financial institution; a credit card
account maintained by a financial institution; a cell phone account
maintained by a telecommunications institution; an Internet-based
payment processor; a micropayment processor; and a virtual currency
processor; wherein the .Iadd.programming instructions enable
.Iaddend.sharing said associated sales referral fees with said
content provider and some or all of registered user-visitors who
post quality tokens .[.is.]. based upon the length of time posted
tokens remain on the content of the published web page.
25. A non-transitory computer readable medium containing
programming instructions stored thereon for sharing revenue with a
content provider as claimed in claim 24 wherein said content
provider or one of said registered user-visitors is designated as a
transferor and the program includes .Iadd.instructions for
.Iaddend.transferring a designated portion of the shared sales
referral fees from said transferor to one of another registered
user-visitor or another content provider.
26. A non-transitory computer readable medium containing
programming instructions stored thereon for sharing revenue with a
content provider as claimed in claim 25 wherein said content
provider or one of said registered user-visitors is designated as a
charitable transferor and the program .Iadd.instructions
.Iaddend.includes .Iadd.instructions for .Iaddend.transferring a
designated charitable portion of the shared sales referral fees
from said charitable transferor to a designated charity, designated
by one or more registered user-visitors or one or more content
providers.
27. A non-transitory computer readable medium containing
programming instructions stored thereon for sharing revenue with a
content provider as claimed in claim 26 wherein the
.Iadd.programming instructions for the .Iaddend.transfer to said
one payment processor is subject to a transaction fee and
predetermined monetary thresholds.
28. A non-transitory computer readable medium containing
programming instructions stored thereon for sharing revenue with a
content provider as claimed in claim 24 wherein the
.Iadd.programming instructions for the .Iaddend.transfer to said
one payment processor is subject to a transaction fee and
predetermined monetary thresholds.
29. An information processing system for sharing revenue with a
content provider .Iadd.and a user-visitor, the content provider
.Iaddend.supplying electronic content .[.wherein some electronic
content is.]. .Iadd.either .Iaddend.directly .[.supplied by said
content provider and some is preexisting provider controlled
content from various.]. .Iadd.or from .Iaddend.third party
.[.content.]. web sites and wherein the supplied electronic content
is .[.merged.]. .Iadd.compiled .Iaddend.into a web page with
advertisements relevant to said content .[.and.]. .Iadd.or
.Iaddend.advertisements relevant to .[.a.]. .Iadd.the
.Iaddend.user-visitor, each ad having a respective ad display and
hyperlink to a corresponding advertiser designated web site, said
user-visitor being one user of a plurality of registered users and
non-registered users who view the .[.merged.]. .Iadd.compiled
.Iaddend.web page, the system comprising: a publisher, coupled to
the Internet, .Iadd.capable of .Iaddend.publishing a web page with
said supplied electronic content and one or more ads having
respective ad displays and corresponding hyperlinks on the Internet
at an assigned Internet address; an associated sales referral fee
.Iadd.and ad revenue fee .Iaddend.tracker operatively coupled to
the published web page with ads and hyperlinks, the tracker
.Iadd.capable of .Iaddend.monitoring a user-visitor selected ad
display and hyperlink from the published web page; a first fee
sharing module, coupled to said .[.sales referral.].
.Iadd.associated .Iaddend.fee tracker, .[.incentivizing.].
.Iadd.adapted to incentivize .Iaddend.the content provider who
supplied content to the published web page by .Iadd.effecting the
.Iaddend.sharing .Iadd.of .Iaddend.said associated .[.sales
referral.]. fees with said content provider based upon a
predetermined formula accounting for .Iadd.one or more of:
.Iaddend.a frequency of posting other content supplied by said
content provider, quality rankings posted by registered
user-visitors, a gross value of said associated .[.sales
referral.]. fees set by said corresponding advertiser designated
web site, and the number of user-visitors who go to the published
web page with the supplied content; a second fee sharing module,
coupled to said .[.sales referral.]. .Iadd.associated .Iaddend.fee
tracker, .[.incentivizing.]. .Iadd.to incentivize
.Iaddend.registered user-visitors by providing .[.each.].
registered .[.user-visitor.]. .Iadd.user-visitors .Iaddend.with
.[.a predetermined quantity of.]. quality ranking tokens, .Iadd.and
.Iaddend.by .Iadd.effecting the .Iaddend.sharing .Iadd.of
.Iaddend.said associated .[.sales referral.]. fees with some or all
of registered user-visitors who post quality tokens in conjunction
with content on said published web page based upon a predetermined
quality ranking formula accounting for .Iadd.one or more of:
.Iaddend.the quantity of posted tokens, the sequential order of
posting .[.and.]..Iadd., .Iaddend.the number of user-visitors who
go to the published web page with the supplied content, and the
shared .[.sales referral.]. .Iadd.associated .Iaddend.fee for said
content provider .[.who supplied the content subject to the posted
quality tokens.].; a payment transfer module for the shared
.[.sales referral.]. .Iadd.associated .Iaddend.fees, said transfer
module .Iadd.capable of .Iaddend.transferring, under the control of
the incentivized content provider or incentivized registered
user-visitors, shared associated .[.sales referral.]. fees to one
payment processor from the group of processors, designated by said
respective incentivized content providers or registered
user-visitors, including: a debit card payment processor maintained
by a financial institution; a credit card payment processor
maintained by a financial institution; a cell phone payment
processor maintained by a telecommunications institution; an
Internet-based payment processor; a micropayment payment processor;
and a virtual currency payment processor.
30. An information processing system for sharing revenue .[.with a
content provider.]. as claimed in claim 29 wherein said content
provider or one of said registered user-visitors is designated as a
transferor and the system includes a fee transfer module for
transferring a designated portion of the shared .[.sales
referral.]. .Iadd.associated .Iaddend.fees from said transferor to
one of another registered user-visitor or another content
provider.
31. An information processing system for sharing revenue .[.with a
content provider.]. as claimed in claim 30 wherein said content
provider or one of said registered user-visitors is designated as a
charitable transferor and the system includes a charity fee
transfer module for transferring a designated charitable portion of
the shared .[.sales referral.]. .Iadd.associated .Iaddend.fees from
said charitable transferor to a designated charity, designated by
one or more registered user-visitors or one or more content
providers.
32. An information processing system for sharing revenue .[.with a
content provider.]. as claimed in claim 31 wherein the first and
second fee sharing module monitors the length of time posted tokens
remain on the content of the published web page and adjusts the
shared associated .[.sales referral.]. fees with said content
provider and some or all of registered user-visitors who post
quality tokens on the content of the published web page.
33. An information processing system for sharing revenue .[.with a
content provider.]. as claimed in claim 32 wherein the payment
transfer module applies a transaction fee and predetermined
monetary thresholds to transfers.
34. An information processing system for sharing revenue .[.with a
content provider.]. as claimed in claim 29 wherein the payment
transfer module applies a transaction fee and predetermined
monetary thresholds to transfers.
Description
The present invention relates to an Internet based system and
computer method which shares revenue between content providers and
registered users and further incentivizes those content providers
and registered users by sharing click-through revenue and
permitting financial transfers to users and providers via
designated payment processor(s). A computer based method is also
disclosed as is an information processing system and programming
instructions stored on computer readable medium.
BACKGROUND OF THE INVENTION
With a variety of software tools, users can easily upload content
and post that content on the Internet. Examples of content include
text entries, such as documents and written textual materials, for
example, materials posted on various blogs, video content such as
user supplied content on Google videos, YouTube and MySpace, and
photos taken by users uploaded to Flickr, Face book and others.
Unfortunately, this user generated content is oftentimes provided
free of charge to the web site or system operators. These web site
operators place ads next to the user supplied content and receive
sales referral fees based thereon. The users who created the
content do not monetary benefit from the distribution and display
of such content. Further, some Internet platforms do not accept all
types of user generated content.
In general, many of these systems, which enable a user to post user
generated content, do not renumerate the user content provider in
any manner, such as sharing ad revenue derived from other visitors
seeing the user supplied content and then clicking through to
advertiser designated web sites to purchase goods or services
thereon.
OBJECTS OF THE INVENTION
It is an object of the invention to provide a single, simple
Internet platform server system which is user friendly and which
enables a user to easily post his or her user generated content
including text, electronic images or pictures, video, audio or
other user created electronic content and incentivize the content
provider by monetizing the content with ads and then sharing the ad
revenue.
It is a further object of the present invention to provide the user
with some type of monetary renumeration if the uploaded content is
interesting and generates additional traffic on the web page and
web site associated with the content provider. Interesting content
is rewarded by other registered users posting quality approval "QA"
tokens on the identified web page.
It is another object of the present invention to share ad referral
revenue with the content provider, the system operator and any
other person or entity referring the content provider to the system
operator and the registered users posting quality approval tokens
thereby incentivizing the content providers and the posting
registered users.
It is an additional object of the present invention to increase the
renumeration to the content provider based upon traffic on the
content provider's web page, quality of the content ranked by
visitors, and quantity of the content posted on other web pages by
the user, wherein the other user supplied content is posted to
other web pages supported by the system operator.
It is an additional object of the present invention to increase the
renumeration to the content provider based upon content analysis,
resulting in relevant ad insertion, and further based upon
user-visitor historic analysis (for un-registered user-visitors,
based upon referral source, IP address and monitored site history
during the present time frame, and for user-visitors that log-in
via their user name, based upon user profile) resulting in further
insertion of relevant ad materials, thereby increasing the ad
revenue for the content provider and the web site operator due to
both content and visitor ad relevancy factors.
It is another object of the present invention to incentivize the
content provider who supplied content to the published web page by
sharing the associated sales referral fees with the content
provider based upon a predetermined formula accounting for a
frequency of posting other content supplied by the content
provider, quality "QA" rankings posted by registered user-visitors,
a gross value of the associated sales referral fees set by the
corresponding advertiser designated web site, and the number of
user-visitors who go to the published web page with the supplied
content.
It is a further object of the present invention to incentivize
registered user-visitors by providing each registered user-visitor
with a predetermined quantity of quality "QA" ranking tokens, by
sharing said associated sales referral fees with some or all of
registered user-visitors who post quality tokens in conjunction
with content on the ad carrying web page based upon a predetermined
quality ranking formula accounting for the quantity of posted
tokens, the sequential order of posting and the number of
user-visitors who go to the published web page with the supplied
content, and the shared content provider fee subject to the posted
quality tokens.
It is an additional object of the present invention to provide a
payment processing system enabling the content provider and the
registered user to transfer earnings from the monetized content to
his or her credit card, debit card, cell phone or other
financial-based account under his or her control.
SUMMARY OF THE INVENTION
The present invention is a computer-based method and system of
sharing revenue with a content provider supplying electronic
content wherein some electronic content is directly supplied by
said content provider and some is preexisting provider controlled
content from various third party content web sites. The supplied
electronic content is merged or inserted into a web page with
advertisements relevant to the content and advertisements relevant
to a user-visitor. Each ad has a respective ad display and
hyperlink to a corresponding advertiser designated web site. A
plurality of registered users and non-registered users view the
merged web page. The method and system publishes the web page with
the supplied electronic content and one or more ads with respective
ad displays and corresponding hyperlinks on the Internet at an
assigned Internet address. Associated sales referral fees
(click-through revenue) are tracked, via a tracking module, wherein
a user-visitor selects an ad display and hyperlink from the
published web page and the tracking module monitors such acts. The
content provider, who supplied content to the published web page,
is incentivized because the system shares the associated sales
referral fees with the content provider based upon a predetermined
formula accounting for a frequency of posting other content
supplied by the content provider, quality QA rankings posted by
registered user-visitors, a gross value of the associated sales
referral fees set by the corresponding advertiser designated web
site, and the number of user-visitors who go to the published web
page with the supplied content. The content supplier compensation
formula may include other information and user-related factors.
Registered user-visitors are incentivized by providing each
registered user-visitor with a predetermined quantity of quality QA
ranking tokens and by sharing the associated sales referral fees
with some or all of registered user-visitors who post quality
tokens in conjunction with content on the published web page based
upon a predetermined quality ranking formula accounting for the
quantity of posted tokens, the sequential order of posting and the
number of user-visitors who go to the published web page with the
supplied content, and the shared sales referral fee allocated to
the content provider who supplied the content subject to the posted
quality tokens.
The shared sales referral fees are transferred, under the control
of the incentivized content provider or incentivized registered
user-visitor, to a designated payment processor such as a debit
card account maintained by a financial institution; a credit card
account maintained by a financial institution; a cell phone account
maintained by a telecommunications institution; an Internet-based
payment processor; a micropayment processor; and a virtual currency
processor. Further, the content provider or registered
user-visitor, designated as a transferor, may transfer a designated
portion of his or her shared sales referral fees to another
registered user-visitor or another content provider, or to a
designated charity. The transfer to any payment processor or any
other registered user or charity is subject to a transaction fee
and predetermined monetary thresholds.
BRIEF DESCRIPTION OF THE DRAWINGS
Further objects and advantages of the present invention can be
found in the detailed description of the preferred embodiments when
taken in conjunction with the accompanying drawings in which:
FIG. 1 diagrammatically illustrates both the system and the method
for merging user supplied electronic content with preformatted web
pages and relational advertisements;
FIG. 2 diagrammatically illustrates supplementing the merged web
pages and also generation of the associated sales referral fees
when a visitor clicks through a relational ad to a third party
advertiser designated web site;
FIG. 3 diagrammatically illustrates the process or page production
routine;
FIG. 4 diagrammatically illustrates the functional modules and the
processes for the relevancy engine for the user supplied
content;
FIG. 5 diagrammatically illustrates the ranking and revenue program
and tracking modules;
FIG. 6 diagrammatically illustrates the preview upload and
distribution system;
FIG. 7 diagrammatically illustrates the upload and preview
routine;
FIG. 8 diagrammatically illustrates the preview system and
distribution method and system;
FIG. 9 diagrammatically illustrates a system and block processes
(which may be hardware implemented modules) for uploading content
from third party web sites, extracting previews and distributing
previews to third party sites to drive traffic back to the system
operator's site;
FIG. 10 is a double ad-user relevancy program and a user-visitor
tracking system monitoring user relevancy ads on the processed web
page;
FIG. 11 is a process flow chart showing functional modules or
sub-systems for (i) automatic importation of user-controlled
content from third party web sites; (ii) multiple users, viewers,
and registered users posting QA ratings or votes and comments;
(iii) revenue sources input (IN) the computer-based system; (iv)
transaction fee module; and (v) payment processors;
FIG. 12 shows incentive categories generating views measured in cpm
(clicks per 1000) and shared revenue the content provider, QA
voters, the system operator, and others;
FIG. 13 shows the Quality Approval or QA Ranking Program; and
FIG. 14 shows the Account Maintenance Program.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
The present invention relates to a revenue sharing method and
system for a user, who supplies electronic content (sometimes
called herein a "content provider") and a system operator who
operates the system, provides a user friendly platform to
commercially exploit user supplied content, and a method and system
of sharing revenue with registered users who rank or rate content
with QA tokens. These revenue sharing systems incentivize users and
drive traffic to the system operator site and the user supplied
content thereby driving additional traffic to relational
advertisers. Similar numerals designate similar items throughout
the drawings.
FIG. 1 diagrammatically illustrates the system and the method of
merging electronic content, supplied by user, with preformatted web
pages having relational advertisements thereon. System 10 is
operated by a system operator and generally includes functional
components such as content filter 20, content analyzer and category
selector 22 (a category comparator), a data collection or database
of preformed web pages 24 and relational ads, a compiler
integrating the electronic content from the user with the selected
preformatted web page and generating a merged web page, a
contextual advertising program module 42 and the web site publisher
for publishing various merged web pages 44, 48, 52 each having a
unique assigned Internet address. The same server address subsumes
each respective assigned Internet address for each merged web page,
that is, the system operator server address is the same in all the
assigned Internet addresses and the merged web pages all have a
unique assigned Internet address.
Functional block 10 illustrates that a user must sign on or log
into the system. The following User Profile Table shows typical
information collected by system 10 when the user initially logs on
or signs into the web page publisher system 10. The User
Profile--Table A is supplemental as discussed later in connection
with FIG. 11.
TABLE-US-00001 TABLE A User Profile Contact data (including zip
code) (name, address, etc.) User group(s) Preferences Negative
preferences System site history Total time on system site Hits on
page AA, BB Time on content page AA Time on page BB, etc. User's
location data I.P. address, longitude-latitude geographic tags
Search history Current search history Historic search routes System
site visit count Q Upload content to site count Q-content (content
count) (# uploads) Upload comment count Q-critic (critical comment
count) (# comments) Referred by *Jim Smith* Referral count Q-refer
For all posted content Page rating or QA rank (1 to 5, 5 being
best) Average rating or ranking, usually an aggregate Total sales
referral fees earned (list fees per content page) Content provider
account balance Referrer account balance
Of course, the User Profile may contain other information that
enables the system operator to either generate additional
relational advertisements or exclude advertisements (negative
preferences) and generate additional traffic to the merged web
pages. As noted in functional block 12 of FIG. 1, the user uploads
content and optionally (OPT) adds a descriptor title to the
uploaded electronic content and/or a description or descriptor of
the electronic content. Abbreviations found in the drawings and
sometimes used in this specification are identified later in the
Abbreviations Table near the end of the specification. The user
need not identify a title or descriptor for the uploaded content.
All content data, meta tags, descriptors, tags and labels are
uploaded by input 12. In the example shown in FIG. 1, the user
uploads Content A, which is an electronic image or picture of a
car, as functional block 14, uploads Content B, which is a video of
a car at functional block 16, and uploads Content C, which is a
picture from a concert and text (txt) describing the concert event
at functional block 18. The user function 12 uploads each of these
contents A, B, C at different times. The content count is then set
at 3 uploads. Of course, a plurality or a number of users log into
the system and complete their respective user profiles (Table A)
and are permitted to then upload a large volumes of content onto
web-based system 10 provided by the system operator. Commonly, a
user uploads one content into the system 10 at one time. Content A,
B, C is shown in order to explain the relational advertisements and
the merger with preformed web pages.
In system 10, content filter 20 processes the uploaded Content A,
B, C from the user. The content filter 20 sometimes operates on the
content itself such as the text in Content C. This semantic
analysis of the content enables the system to identify,
potentially, the band, the event, or the site (location) of the
concert. Therefore, if the uploaded content is text, the relevancy
factors of the content are found in the supplied content itself
(semantic analysis). Further, the content may have indicators or
meta data indicating the time the photograph or video was taken,
the camera which captured the picture or video, the date, as well
as the author or creator. Hence, these content relevancy factors
are located and extracted by content filter 20. The content may
also have geographic data either input by the user upload function
12 as a title or description or may have meta data with geographic
location, time of creation, author or creator, as well as other
indicia of content relevancy. The I.P. upload address may also have
relevancy. The outputs from content filter 20 are content relevancy
factors A, B, C associated with Content A, Content B and Content C.
The content analysis and category selector 22 determines the
hierarchical category of the content. Sometimes, the user will
select a category such as "automobiles" for car picture as content
A. Other times, with respect to content C, the text may indicate
the category. For example, the band Black Eyed Peas may be stored
in category selector 22 and the system may recognize the band Black
Eyed Peas as being associated with musical entertainment.
Therefore, a hierarchical analysis of relevancy factors is employed
by category selector 22. Alternatively, or in addition thereto, an
orthogonal based analysis of relevancy factors is processed.
Orthogonal analysis involves a relationship between two categories
at the same hierarchical level. Automobiles can be generally
orthogonally classified with motorcycles but both automobiles and
motorcycles fall into a hierarchical category of vehicles. Further,
semantically based analysis to obtain one or more relevancy factors
can be employed by category selector 22.
In any event, a command (cmd) is presented to the database or data
collection 24 of preformed web pages. Data collection 24 includes
various preformed web pages wherein each preformed web page is
associated in some manner with one or more advertisements. The
association may be an electronic link, meta data, an index link or
may be embedded in the ad image. The ads are also stored in data
collection 24. In any event, preformed web page 26 relates to a
"car" category page having ad space 28 with car advertisements 1,
2. Either the preformed web page includes the ads 1, 2 or these ads
are merged into the page by a compiler. Entertainment preformed web
page 30 has a sub category entertainment-music page. Ad block 32
includes a link or an electronic association with entertainment ad
1 and entertainment ad 2. If there is no relationship or match
between the content relevancy factors (which would include an
analysis of the title and descriptor supplied by the user), then
the system activates default page 34 with general ads 1 in ad space
36. The match may employ a comparator using these semantic and
classification theories. The command cmd from category selector 22
causes the output of a preformatted web page from collection 24 and
an input of the same into compiler 40. Compiler 40 merges the
appropriate user supplied content with the related preformed web
page which then includes the relational ads. The output of the
compiler 40 is an interim web page which is then processed by
contextual advertising program 42. The relational data may be
embedded in the page as meta data. Otherwise, data collection 24
has an index system for pages, ads and content. The contextual
advertising program is known by persons of ordinary skill in the
art. One example of a contextual advertising program is the Google
Ad Sense program, which adds additional ads or inserts additional
related advertisements into a web page. In any event, the merged
web page is published at a certain assigned Internet address.
Therefore, car page AA is published as web page 44 having content A
and car advertisements 1, 2, 3 at ad space 46. Car page BB has a
different assigned Internet address (although the same "root"
server system address) and includes content B car and ads 1, 2, 3,
4 as generally shown as published or merged web page 48. Web page
52 is music entertainment page having music ad X which as been
added by contextual advertising program 42 as well as entertainment
ad 1, ad 2, ad 3 in advertising space 56. Note that the preformed
web page 30 includes an entertainment ad 1, and ad 2 but the
published merged web page includes an additional music ad X. Music
ad X is added by the contextual advertising program 42.
Examples of categories which may be employed by category selector
22 is found below in Table B.
TABLE-US-00002 TABLE B Categories All Animals Arts and
entertainment Business Causes and activism Comedy Education Food
Games How to Lifestyle Movies and television Music Nature News and
politics Science and technology Sports Travel
Other categories may be added by the system operator.
The design and format of the merged web page may change from
category to category or the preformatted web pages may be static.
For static pages, one content or category page looks fairly similar
to another category page except for the different advertisements.
It should be noted that the format of the merged web page is
completely within the control of the system operator. The user
supplies the content on a web page and the content area is
predetermined on the web page by the system operator for system
10.
Regarding the input of the content, the following Table C provides
an example of one type of input page.
TABLE-US-00003 TABLE C Example of Operative Input Page Select tabs
(functional buttons) - horizontal top bar all content blogs photos
videos documents links search upload Select upload type - vertical
left side bar blog photo video document link View space uploaded
item content info (see Table D) money earned Select further uploads
(functional buttons) - horizontal bottom bar rate (pull down list;
selected by viewer-user) (1 to 5, 5 is best) favorite (permits
user-viewer to link to his or her web page) flag (indicates special
significance) tag related content (shows thumbnails of related
content with creator, tags or description, view count, money
earned, rating-favorite) Advertisements (includes ad display and
hyperlinks) right side bar, bottom bar, top horizontal bar
Other types of input pages may be utilized.
The following Table D lists the types of electronic content which
may be uploaded into system 10.
TABLE-US-00004 TABLE D Upload Content Type Blog (text) Photo Video
Document (text, embedded image, links) Link
Also with respect to the input, the user may be requested to input
a reasonable amount of descriptive information regarding the
uploaded electronic content. The following Table E shows typical
information requested by the system either prior to uploading the
content or shortly after uploading the content.
TABLE-US-00005 TABLE E Content Information Creator (Author) Upload
time (or time since upload event) Times rated by viewer-user Times
designated as favorite by viewer-user Times commented (text)
Description (by uploading user) Meta tags
FIG. 2 diagrammatically illustrates the content display program 60
and, more specifically, shows two processes: content display
routine 60-AA referring to car page AA, at one unique, assigned
Internet address; and routine process 60-BB for car page BB at a
different assigned Internet address. Both addresses have the same
server root address. With respect to routine 60-AA, user 2 added
comment text 64 to car page AA 62. In other words, the content A,
which is a picture of a car (see functional block 14, FIG. 1), is
subject to a second user 2 inserting comments as a text at function
64. The comments may be formatted as a blog entry. This increments
comment counts in both user profiles (content provider and comment
provider). The resulting enhanced car web page AA is shown as web
page 66 wherein user 2 text is embedded or inserted or merged into
the car web page AA. A third user 3 adds links or hyperlinks 65 to
car page AA 66. In functional block 42, the system executes the
contextual ad program discussed earlier in conjunction with FIG. 1.
Car page AA 68 then includes new ad 70 inserted by contextual ad
program 42. Car page AA 68 also includes user 2 text and user 3
link. The system then goes to the revenue sharing program 72
discussed later.
Routine 60-BB begins with car page BB 64. The add content
functional module 76 notes that user 2, user 3 and user 4 have
added content to car page BB. Functional block 42 indicates that
enhanced car page BB has undergone a contextual ad program routine.
New ad 80 has been added by contextual ad program 42. User 5 is
viewing car page BB 48 as shown at function block 79. In the
following block, car page BB 78 has user 5 clicking through a
displayed relational advertisement at function 82. This click
through activates a hyperlink in the newer ad 80 such that user 5
is transferred to a third party web site or an advertiser
designated web site. The advertiser designated web site 83 permits
user 5 to engage in a goods or services transaction 84 which, in
the example shown in FIG. 2, includes goods being transported to
user 5 and user 5 paying money or other compensation to the
advertiser designated web site 83. This results in an associated
sales referral fee 86 being generated by third party site server
and ultimately this sales referral fee is transferred from
advertiser designated web site 83 to the system operator supporting
car page BB. The associated sales referral fees paid by advertisers
or manufacturers supplying the goods or services via advertiser web
site 83 are well known as "click through fees" by persons of
ordinary skill in the art. Sometimes, third party site 83 pays a
fee just for the click through without the need for a sale. These
fees are classified herein as sales referral fees. The referral fee
86 is tracked by the system operator operating system 10 as
explained later. The tracker is a simple accounting program
accepting periodic electronic reports from web site 83 to the
system operator at system 10. The reports note referral site 78,
the click through, and sales 84. Effectively, the referral fee 86
is logged into and associated with the content user profile as part
of the total sales referral fees and unique fees associated with
content B on merged car web page BB 78.
Referring to the User Profile, Table A, and to content display
program 60, the system accounts for each utilization of each web
site established by each content provider-user. Therefore, the
system site collects information as to visitor time on content page
AA and visitor time on content page BB and also the total visitor
time for all the content provided by the user content provider. The
total time on the system site is stored as well as the sequence of
views. The user profile also provides information regarding the
user's initial log in site such as the source Internet protocol or
IP address. The system translates that IP address into geographic
longitude and latitude data. This enables geographic relevancy data
to be part of the selection process for the preformed web pages 24
(FIG. 1) or the contextual advertising program 42. The system
counts total site hits or visits in the user profile, Table A, as
the total number of viewers that strike or land on car page AA, as
compared with car page BB, or as compared with content page C. The
user profile also accumulates data noting how often the user
uploads content to any other web pages (newly created web pages)
maintained by the system. Commentary textual input (cmt) on other
web pages by the user is counted. Therefore, the user 2 may add
comments (cmt) on car page AA 62 and this increments the user 2
profile and content provider AA. In a similar manner, if the
comments supplied by user 2 are critical of the site, the user 2
comment quantity is incremented for user 2 but decremented on the
content provider. Alternately, critical comments may not trigger a
reduction. User 1 who posted the content A may have the critical
count incremented. This indicates that other users have a negative
impression of content A. The "referred by" field in the User
Profile indicates which person or entity referred the content
provider user to the system operator. The referral count,
Q-referred, indicates how many additional users the profiled user
has added to the system operator site (the profiled user refers
others to the site). The referral data may be hidden from the user
and only available to the system operator. "Referred by" data and
"Acts as a Referrer for User AK" data is also collected in the User
Profile. The User may see the "Acts as a Referrer to" data. The
user profile also includes fields for page QA rating or ranking by
other users and a total aggregate rating. Therefore, rather than
inputting textual comments by user 2 and links by user 3, user 2
and user 3 may increment or decrement a quality approval or QA
ranking for the quality of the content A on car web page AA. The QA
may be a single token or may be multi-level QA ratings like A, B, C
and D. As discussed later in FIG. 13, each registered user has N
tokens (e.g., 5 QA tokens). If graduated, the User may assign 5 "A"
tokens or 5 "D" tokens. The overall ranking for content on a single
published page is the aggregate of all individual QA rankings and
the number of users commenting or rating the content is also
calculated as a quantitative number. Sometimes, the ranking is
stored as an index with the web page. In other words, if 100 users
write a particular comment-like content on the web page, this
number "100" indicates a high ranking for the posted content. If
the aggregate QA ranking (1-5) (5 being the best or high quality),
shows a qualitative ranking of 4, the system operator knows that
the content is a high quality. As noted later, these metrics are
used to alter the sharing of referral fee revenues.
FIG. 3 diagrammatically illustrates a page production routine 90.
Functional block 92 indicates that the system captures the user's
internet protocol or IP address (the source of the upload) and also
captures the referring web site, if the user has transferred to the
system web site from another website. This user logs in (assuming
the user is pre-registered) and submits content to the system as an
input. Functional block 94 indicates that the system engages the
relevancy engine. The relevancy engine operates on the preexisting
meta data in the content uploaded by the user, conducts a
contextual analysis of the content of any title or descriptor added
by the user during the upload process, and also engages the user's
profile to conduct a user centric analysis as well as a user-group
centric analysis. An example of a user-group centric analysis is
all students that attend University ABC in Any Town, State. A user
centric analysis involves, as an example, that the user is a male
who lives in Kansas and has interest in vintage automobiles. In
contrast, a "student" user having a user address or zip code in New
York City is more interested in entertainment, such as Broadway
shows, as compared to vintage automobiles. Therefore, the relevancy
engine for the user in Kansas provides more automobile related ads
such as automobile accessories and automobile entertainment such as
NASCAR events. In contrast, the New York City user is provided with
more information regarding Broadway shows, concerts in Madison
Square Garden, and entertainment events in Atlantic City, N.J.
Functional block 96 notes that the system generates one or more
relevancy factors related to either the supplied content, user data
from the user profile, predetermined user-group profile and any
referral source data noted by the user. The referral source may be
the web site from which the user is referred to the system website
or a person or company who referred the user. See functional block
92. Functional block 98 indicates that the relevancy factors for
the electronic content supplied by the user are further processed
based on higher hierarchical categories (see Category Table B or
orthogonal expansion from one hierarchical class to another).
Functional block 102 sorts and prioritizes these relevancy factors.
The sorting-prioritizing function 102 may be based upon prior
search history of the user (collected in the User Profile, Table
A), the current search history, the purchasing patterns of the
user, the purchasing patters of one or more groups associated with
the user or other user centric, group centric or historic patterns.
Function block 104, a comparator, matches the ad content or, more
precisely the add relational data, with the relevancy factors for
the user supplied content. The ad relational data is associated
with each advertisement and each advertisement has some association
with the preformatted web page. For example, in one embodiment,
each advertisement may include meta data associated with the
advertisement and incorporated in the electronic version of the
advertisement and the ad relational meta data can be matched
semantically or hierarchically or orthogonally with the content
relevancy factors, the user profile, and the user title and
descriptor, or other information supplied by the user when the user
uploads the electronic content to the system.
Step 106 forms the new web page. This step includes the insertion
or merger with user content the preformed web page and the
relational ads. Function 108 repeats the contextual advertising
program (program 42 in FIG. 1). This may include a repeat, as noted
by branch 109, to the relevancy engine 94. In step 110, the system
seeks out additional advertisers. This may involve preliminarily
posting the merged web page on the Internet with a publishing
engine and operating the contextual advertising program 42 on the
published web page. Step 112 displays a new web page.
FIG. 4 diagrammatically illustrates the relevancy engine 120. In
functional block 122, new content is added or inputted into the
system. Functional block 122 is a meta data sensor which identifies
the source of the content, classifies the content by type such as a
picture, video, text, blog, etc., identifies the date in the meta
data with the content, if available, the time, the location or the
IP address from which the content is uploaded, and the author or
creator. Further, functional block 122 has a relevancy data
extractor which may include a contextual analysis of the meta data.
Functional block 124 is the category selector which may employ a
hierarchical or an orthogonal expansion routine. The category
selector 124 operates on a category database which is
electronically linked or indexed to preformatted web pages in
categories 1, 2, 3, ads and a default preformatted web page. Output
128 is the preformed web page. Function block 130 obtains the user
supplied content and notes the location of the source of the
content and the geographic data associated either with the source
(IP data from upload source) or the user. Functional block 132 adds
geographic relevancy to the web page being formatted. Function
block 134 obtains information from the user profile including
preferences input by the user during the initial log on (or
revision of the user profile), as well as the frequency and history
relevancy data from the user profile and the group preferences. In
other words, all students from a particular university may be
grouped automatically into a group and the preferences of the
overall group may be utilized to better obtain relevancy factors
for the particular uploaded content. Function block 136 repeats the
system with the referral source for the user and the referrer
preferences and the referrer profile. In other words, in addition
to sharing the advertising revenue with the content provider, the
system further shares advertising revenue with the person or entity
who referred that content provider. Therefore, the referral source
data and preference in the user profile is an additional indicator
of relevancy. Function block 138 adds the relevancy factor data to
the web page. Function block 140 processes the web page through the
contextual ad program. See contextual advertising program 42 in
FIG. 1. Functional block 142 posts the web page on the system
server, processes visits through the web page, processes click
through data to advertisers and advertising sites from that
distinct web page, posts comments from other users, and posts
rankings of the content on the web page. The relevancy factors
compiled for a particular web page may be including as meta data in
the page or may be stored in the system database or index
associated with the content. These relevancy factors can be
utilized to better enhance the relevant advertisement for that
content web page. Function block 144 repeats the relevancy
detection and repeats the contextual advertising program
campaign.
FIG. 5 diagrammatically illustrates the ranking and revenue
program. Functional block 152 notes that a new web page with new
content has been published by the system server. A user and viewers
to that web page, rank the content on the web page at block 154. In
156, the system captures the data as a qualitative ranking data or
a commentary to the content, or a negative comment to the content.
Function block 158 counts the number of users or visitors to that
new web page. This is illustrated in routine 60-BB in FIG. 2.
Function 160 monitors referrals to that web page from other web
sites. Function 162 computes the revenue split from referral fee 86
(FIG. 2) for that user supplied content. The revenue split is
computed based upon a predetermined formula (which may be changed
by the system operator in its discretion). The factors which may be
accounted for in the formula include the quality and quantity of
content provided by that particular user, the referral source for
the content and for the user, total advertisement payments or click
through payments from that content and web page. The revenue split
to the content provider preferably will be increased based upon the
per page impression or views (pp impress). Further, the fee paid to
the content provider may be increased based upon the per page click
through count, may be increased based upon the quality of the
content and may increased based upon other content posting by the
user. Negative comments and rankings may decrement the revenue
share. In other words, if a user posts 100 instances of new content
on 100 web pages, that user's revenue share is increased compared
to a user that only posts new content on 5 new web pages. Function
block 164 sub totals the information for the content provider and
subtotals data for the person or company who referred the content
provider. The revenue split by the system operator accounts for the
content provider but also the person or company who referred the
content provider to the system operator. Function block 166
distributes the revenues or banks the revenues fees for later
distribution in accordance with contractual terms with the system
operator. Although the revenue share formula is predetermined or
pre-set by the system operator, the operator may change the revenue
formula to meet economic conditions.
FIG. 6 diagrammatically illustrates the preview upload and
distribution system. In functional block 170, the user has input an
approved web page which has been published by the system operator
on the system server. The content on user web page 170 is a user
created video 172. The system, in functional block 174, uses a
preview extractor for the video as well as an indexing system and a
publisher. The preview extractor extracts a preview of the text or
script (a short quote) from the user created video as noted in
function block 176. Alternatively, the descriptor supplied by the
content provider may be used. A snippit of the scrip or text for
the user created video 172 includes a portion of the text as well
as a hyperlink or bk-link enabling any third party, if they are
interested, to click on to the bk-link-hyperlink which would then
transfer that viewer from the preview to the user created video
172, on the system server (see pages 44, 48, 52 in FIG. 1). A
snippit of the user created video 172 is extracted in the previewer
as video preview 178. The publisher in functional block 174 adds a
hyperlink to the snippit of the video as a preview. The audio from
the user created video 172 is segmented and a preview of the audio
track is extracted as audio preview 170. The audio also has a
display icon linked thereto with a hyperlink as a bk-link to user
created video 172. A single frame picture or image from the user
created video is created in function block 182. A thumbnail may be
created and distributed. The meta data associated with the user
created field may be utilized as the index in module 174. In
distributor module 184, the previews are published by the system
from function block 174. The user may define targeted social web
sites as distribution sites. Therefore, the text preview is posted
on blog 185 a and the text preview is also posted on Wikipedia
185b. Of course, any site accepting content or any "Wiki" site may
be utilized. The video preview is posted on YouTube 185c. The audio
preview is posted on Last FM 185d. The picture preview 182 is
posted on Flickr 185e. Therefore, any person interested in the user
created content and user created web site from blog 185a, Wikipedia
185b, YouTube 185c, last FM 185d or Flickr 185e can click on the
hyperlink from the thumbnail preview and be transferred to the
user's web page with the user created video 172 thereon. Of course
as explained earlier, the user web page has ad content relevant of
the user as well as the group and other content-based items which,
hopefully, the visitor will click on the ads, go to the
advertiser's designated site, purchase goods resulting in the
payment of associated sales referral fees which are ultimately
split between the user supplying the content and the system
operator and any referral source.
FIG. 7 discloses a functional routine for the upload and preview
routine 190. In function block 192, the user uploads content into
the system. In function 194, the system creates a new web page for
the user and adds relevant advertisement to that new web page. In
function 196, the system submits the newly created web page to
search engines. Optionally, the system optimizes the web page for
better search engine placement. In step 198, the user creates a
preview of the content or, optionally, the system creates a
preview. The preview could be an thumbnail, a description, a
snipppit, a quote from the electronic, content, or a descriptor
supplied by the user who, in turn, as supplied the electronic
content. Further, commentary by third party users may be added to
the preview to enhance consumer interest. In step 199, the preview
is modified to include a hyperlink back to the system and to the
particular user web page with the original content. In 202, the
user selects which web sites are targeted for distribution of the
preview plus the embedded hyperlink. Optionally, the system may
default to target web sites listed by the user when he or she
initially logged in to the system and registered with the system.
In step 204, that preview is distributed to other third party
publishing web sites. In step 206, viewers are linked from the
preview back to the original content on the system server and the
original user's web page (see page 52, FIG. 1). In step 208, the
viewer sees the web page with the original content and clicks
through to advertisements from the web page to advertiser
designated web pages. In step 209, the system uses a data tracker
to account for sales referral fees and splits ad revenue with the
content creator and any referral source of the content creator.
FIG. 8 diagrammatically illustrates the preview system 210. As
noted by persons with ordinary skill in the art, the user inputs or
uploads content into system 223 via various telecommunications
networks commonly called Internet 221. The system operator controls
system 223. The user may have a browser input 212 operating on his
or her computing device 211, normally designated as a client
computer. The client computer 211 may be any computer based device
such as a laptop, PC, personal data assistant or an Internet
enabled cell phone. Further, as described later herein, the user
may activate and download preexisting user controlled content on
various third party web sites. For example, third party N may have
a web page 214 on third party server 213. The user may upload
content from third party server 217 with upload programs from
server system 223 and with the permission of third party M. The
system, activated either by the user or by the system 223, may
extract user content from third party server systems 213, 217 and
process that user content as discussed earlier. A widget 215 may be
activated on system 213. Another third party web site M 216 has
different content on another server system 217. In this instance,
the system may have a plug in 219 and third party M web site has
granted permission as requested by the user to obtain content from
third party M web site owner. In any event, typically, the Internet
221 connection bridges the input system devices 211, 213, 217 with
the system 223. The system 223 then initially processes or produces
a unique web page 230 which ultimately is assigned a certain unique
Internet address. Therefore, for the three web pages initially
produced at 230, there will be three assigned Internet
addresses.
The relevancy engine 232 operates contextually on the content as
well as in a user centric manner and an upload sources centric
manner and a group centric manner. The expansion module 234 expands
the relevancy factors for the uploaded content. The contextual
advertising program 236 adds contextually relevant ads to the web
page being produced by the system. Function 238 is a module which
repeats the relevancy engine 232 and the contextual ad program 236.
The web page is supplemented at supplemental module 240 with
related content, thumbnail previews, text and appropriate relevancy
terms. The enhanced web pages 242 are then produced and posted on
the system operator's web site. As stated earlier, the web page
addresses all include a singular server address such that all the
web pages have a root server address which enhances the search
engine placement of each page on the system server 223.
The preview extractor 244 operates on the enhanced web pages and
extracts previews as discussed earlier in conjunction with FIG. 6.
The previewer also adds a page link to the enhanced web page 142.
Branch 245 sends index terms and relevancy terms to the system 232.
This enables anyone who is on the system server to search all the
web pages on the server and view other relevant web pages. A
distribution engine 246 further pushes the previews to various
other publishers or web sites 247, 249 and 251. Content publisher A
posts the preview plus the page link to enhanced web page 242.
Content publisher B on web site 249 may publish the same preview or
a related preview. Content publisher C operates on a third web site
251. These websites at publishers A, B, C are available through
Internet or telecommunications system 221 to the distribution
engine 246 of the system 223.
FIG. 9 diagrammatically illustrates a process flow 270 for
uploading content from another web site. In step 272, the user
indicates to the system operator (system 223, FIG. 8), that content
is available on a third party web site. The content being
"available" on the third party web site must be authorized or
approved or created by the user. In step 271, the system operator
redirects the user to the third party web site. In step 276, the
third party web site makes an inquiry to the user: is it acceptable
to grant the system server 223 access to the stored content on the
third party's website. If YES, then the process continues. If NO,
the process ends. In function 278, the third party website issues a
token to the system server for that particular content. In step
280, the system 223 uses the token to copy content from the third
party web site, that content being unique to the user, to the
system server web site. This is user supplied content. In step 282,
the content is uploaded to the system operator's website as user
provided content. The following Table lists the type of user
supplied content as well as third party web sites where that
content may be obtained and identifies the sub-routines permitting
the content to be transferred from the third party web site to the
system server website. For example, video may be obtained on
YouTube by the user activating a Revver API on the YouTube website.
The same is true regarding bookmarks and links and comments and
photos. For photos, that photo may be located on the Flickr web
site and the system web site at Flickr may provide a widget or
other routine functionally permitting the authorized user to copy
the user supply content from Flickr to the web site operated by the
system operator.
TABLE-US-00006 Upload Process: Available Sites and Operation Table
Video YouTube, Facebook, MySpace, Google Videos, Yahoo Videos,
Dailymotion, Blip.tv, Photobucket, Metacafe Revver, Veoh, Vsocial,
Vimeo Upload Operation: Revver API on system site Blogs Wordpress,
Blogger, Typepad, LiveJoumal, facebook, technorati Upload
Operation: Blog plug-ins or system site Wiki's Wikia, Wetpaint,
Wikispaces, pbwiki, ziwiki Upload Operation: Wild plugin or system
site Bookmarks/Links Delicious, Facebook, StumbleUpon, Newsvine,
technorati, slashdot, tailrank, Digg, Furl, Reddit, Fark,
Propeller, Magnolia, bluedot Operation: Toolbar button; sys. Site
Comments Various websites Operation: Toolbar co-comment Photos
Flickr, Photobucket, Facebook, zooomr, scrapblog, smugmug, slide
Operation: Sys. website Reviews/Ratings Amazon, eBay, epinions,
CNET Operation: Toolbar Forums PhpBB, other forum sties Operation:
Toolbar Messages Twither, Facebook, Jaiku, Pownce Operation:
Toolbar or sys. site General Social Facebook, MySpace, Linkedin,
bebo Network Operation: Widget, applications Indexed Website
Google, Yahoo, MSN, ASK Operation: Sys. site
FIG. 10 diagrammatically illustrates a double relevancy method,
system and program. It should be noted that although databases 324,
326, 330 are shown and discussed in connection with FIG. 10, the
system may access data collections beyond the confutes of the local
area network on which the system server normally operates. In other
words, some of the advertisement databases may be located on other
server networks (such as ad networks) and, in order to obtain the
relevant ads (keyed to the ad relevancy terms or factors), the
system 10 (FIG. 1) accesses those third party databases or data
collections via telecommunication channels (such as the Internet)
and downloads the relevant ads for later insertion into the
preformed web pages as discussed herein. For faster re-loading
after initial download from the third party server system or
network, the accessed ads may be stored in the ad databases 324,
326, 330.
In general, the double relevancy ad program (a) determines the
relevancy between the content provided by a user-content provider;
(v) inserts a relevant ad into a defined space in the preformatted
web page; (c) the system watches and monitors user-visitors who
traverse and travel over the system operator's web site, thereby
collecting current session history information about the
user-visitor (in the event that the user-visitor is a registered
user, then the user profile is further used for ad monitoring
purposes, if the user-visitor has earlier visited the system web
site, the stored IP address session history is used); (d) the
system and program then identifies relevancy terms unique to the
user-visitor; and (e) locates associated ads which match the
user-visitor relevancy factors and the ad relevancy terms; (f)
merges the user-visitor relevant ads into the preformed web page;
and (g) publishes the merged ad on the web space and to the
user-visitor.
A content provider-user and a registered user log into the system
and program 300 at function block 310. The system then notes the
user profile and uses the predetermined relevancy factors stored
with the user profile to locate relevant ads as discussed above. A
non-registered user-visitor also travels through the system and, in
decision step 312, the system and program determines whether the
user-visitor has previously traversed the system by seeking to
match previously stored IP addresses with the current IP address of
the user-visitor. In one situation, IP addresses for all
user-visitors are stored for a 24 hour period. Other storage times
for IP addresses may be employed. The following Table shows data
collected by the system and the program 300 to track the current
session of the user-visitor through the system. This data is also
stored for earlier used IP addresses.
TABLE-US-00007 Non-Registered User-Visitor Session Capture Profile
Table Current session history on System Server Total current time
on system site Hits on page AA, BB Time on content page AA Time on
page BB, etc. User-visitor's location data based upon referral I.P.
address, longitude- latitude geographic tags Current session search
Referred by XX site Referral count Q-refer Posted content - this
session Type of content viewed this session
Function block 314 turns on a "session record" or log function for
the site visitor, whether a registered user, or a previous
user-visitor or a new user-visitor. Session record employs the user
profile (or an index thereto), and the former site session history
for a previously recorded IP address user-visitor or opens a new
record for the IP address of the new user-visitor. Function block
316 notes the user action on the system web site (multiple web
pages on the same system server). This may be a search 318 or a
category selection 320. See Categories Table B or Input Page Table
C for user selections which are currently available. In any event,
the system, in step 316, acts upon the user's input request. The
reference, in FIG. 10, to system function ("sys. fnc.") indicates
that the system is operating without the display of a web page to
the user. System function branch 321 permits an upload of content
("cnt.") as described earlier in FIG. 1, and for example, permits a
search over the system web site (multiple pages on the web site),
or permits other functions ("etc.") to be activated by the user as
noted in Table C above. System function 322 then operates on a
content request to get a preformed web page associated with the
requested content, or gets a web page associated with the search
term input by the user or obtains a default web page. See FIG. 1,
for example. A command ("cmd") is issued to the preformed web page
database 324. Content A and Content B web pages are shown in FIG.
10. As an example, web page 325 has Content A thereon and "content
ad space" 327 and "user ad space" 329 which, in the web page in
database 324, are blank ad spaces. If the user conducts a search,
the search results may list Content A. It should be noted that the
preformed web page 325 may have some "static" or non-variable ads
in it but, in the embodiment shown in FIG. 10, some variable or
blank ad spaces 327, 329 permit the system and present method to
insert more relevant ads into the preformed web page. Ads relevant
to both the content and the user's history are located and
inserted, typically sorted by referral fee pricing and
payments.
System function 322 also issues a command to content relevant ad
database 326. This is discussed above in detail. The preformed web
page with variable ad spaces 327, 329 and the content relevant ad
from database 326 is sent to the compiler for merger of the content
ad with the preformed web page. See the double lines in FIG.
10.
The system and method then activates a user relevance engine 328.
This relevance engine operates in much the same way as the earlier
described relevance engines, but operates on the current session
history for the user-visitor, and the user profile if the user is
pre-registered, and the earlier, stored IP history if the
user-visitor has earlier visited the web site (based on similar IP
addresses) and earlier traversed the web site system. A command is
sent to the user relevant database 330 and user-relevant ads are
output therefrom as noted by the double lines to merger function
334. To enhance the revenue to the content provider (and the system
operator), in the event several user relevant ads and or content
relevant ads are initially selected, those ads must then be sorted
and some de-selected by a price discriminator ("discrim.") 332
which is used to select the highest paying ad, that is the ad with
the highest sales referral fee. This is the highest priced ad from
the relevant ads initially obtained from content ad database 326
and user relevant ad database 330. It should be noted that the
price discriminator may be used with both content relevant ads and
user relevant ads. FIG. 10 shows this selector only with user
relevant ads.
As a further enhancement of the system and method, advertiser
aggregators or ad networks have been created by third parties.
These ad networks normally have prerequisites which a particular
web site must meet before the ads stored in the ad networks are
downloaded to a web site owned by the system operator. The
following Tables show ad network criteria, examples of some current
ad networks and the criteria for one of the ad networks.
TABLE-US-00008 Ad Network Requirements or Criteria Table Minimum or
maximum - page views/unique viewers Geographic location Content
Type Language Contextual Relevancy Viewer interests Advertisement
sizes (banner size) Advertisement type (Video ad, widget, banner
ad, survey) Advertisement payment type (CPM, CPC, or CPA)
(cost-per-click, or CPC; CPM, cost per thousand impressions; CPA,
cost per action/acquisition). Ad Network Example Table (referencing
ad and web site requirements pages) Vermedia: English speaking
Christian viewers. (http:-
veremedia.com/publishers/requirements.htm) Scanscout: Video content
and a minimum of 1 million US only viewers per month. (http:-
www--scanscout.com/join_now.html) Consorte Media: Hispanic viewers
and CPC payments. (http:-
www--consortemedia.com/ad_network/signup.php) Admob: Website must
be viewed on the iPhone. (http:-
www--admob.com/s/home/register/?iphone=1) Glam Media: Blog content
that is women oriented and a minimum of 100,000 viewers per month.
(www--glammedia.com/publishers/glam_publisher_network/
site_requirements.php) VerMedia Ad Network Requirement Table
Vermedia: English speaking Christian viewers. All website content
must be in English. The website must attract a Christian or
family-oriented audience. The website must be rich in high quality
content. The website must not contain, produce or link to profane
and/or adult content of any kind. The website cannot contain or be
related to anything illegal in nature. This includes but is not
limited to web sites promoting mp3, warez, EMU, ROM, or any other
form of illegal products or content
In order to meet the criteria for a particular ad network, the
present system uses the user profile, the prior session history of
non-registered users and the current session history of the
user-visitor. These session histories permit the present system and
method to locate and insert more relevant ads into the preformed
web page. Further, the present system and method permits the system
to qualify for certain ad networks since the system operator knows
what type of user is currently traversing or visiting the system
site and knows what content is of interest to the current
user-visitor. In addition to the session histories (from the user's
profile, from the stored IP address profile and from the current
session history), the system determines the type of content the
user-visitor is currently interested in by the current and past
session histories. The user-visitor content type also provides
relevancy factors which directly affect the type of ad and ad
network which delivers relevant ads to the preformed page and, more
particularly, to the variable ad space for content ads 327 and user
relevant ads 329. The Viewer Content Type Table which follows
provides and example of the content type which is used by the ad
networks and by the system to select the most relevant ad to the
user-visitor and the highest paying referral ad for the content
provider.
TABLE-US-00009 Non-Registered User-Visitor-Viewer Content Type
Table Blog(s) viewed - this session high volume content viewer
indicates visitor more interested in information rather than
people; this is "not social" viwer. Blog comments posted - this
session High volume comment provider equals "social" viewer Links
uploaded with Comment-Commentary - this session Pictures viewed
Pictures uploaded - this session Videos viewed Videos uploaded -
this session Linking history this session Links uploaded - this
session Widgets used and/or uploaded - this session Views of Other
Person's Profiles on System indicates "social" viewer
Once the relevant content ads and the relevant user ads are
selected, and the highest paying ads are selected, the system and
method in step 334 merges the ads into the preformed web page
carrying the Content A. Step 336 is a display or publishing step
wherein merged web page 335 is displayed to the user. Web page 335
includes Content A, content relevant ad or advertisements 337
(multiple ads are typically shown) and user relevant ads, shown in
space 339. As noted in FIG. 10, the system operates the revenue
program and operates the content upload program (if the
user-visitor wants to add supplemental content to the web page
335). The revenue program is operated if the user-visitor clicks
though the hyperlink in the ad display for the user relevant or
content relevant ad in spaces 337,339. In step 338, the system
updates the user session log.
In steps 340-352, the system repeats the earlier processes. Step
340 notes the user's action on the web site and updates the user
session log based thereon. If the user-visitor looks at many other
user profiles (see Content Type Table above), then the system notes
this user-visitor behavior and serves up more social site related
content or user relevant ads. In other words, the type of content
viewed and added to the system operator web step also provides a
relevancy factor or factors about what the user is interested in.
These relevancy factors are used to serve up or insert, into the
preformed web page, more relevant ads hopefully of interest to the
user. Step 342 activates the content page database. See system
function branch 321. In step 344, the system activates the content
relevant ad database. In step 344, the system activates the user
relevant ad database. Of course, the relevancy engines described
earlier are activated as part of the utilization of the databases
324, 326, 330. Step 348 merges the relevant content-based ads and
relevant user-based ads into the performed web page with the newly
selected Content B. In step 350, the system publishes, with a
publisher, the newly formed and merged web page to the
user-visitor. Step 352 repeats the earlier steps in an effort to
maximize referral ad revenue to the content provider and to the
system operator. In this manner, the system and method has a double
relevancy ad engine which is based upon content provided and
content selected and based upon current and past site session
histories of the user-visitor.
FIG. 11 diagrammatically illustrates a process flow chart and
functional modules for uploading third party content web site
wherein user controlled content is uploaded, in an automatic
manner, via an import function 400 into the system described
earlier. Further, FIG. 11 shows several types of users-visitors,
some registered and some unregistered users, viewing the posted or
published web page, generating click through and sales commission
revenues as well as payment processing modules that permit the
users to withdraw earnings from their accounts. User U1
independently uploads content cnt1, cnt2, cnt3 and cnt4 to various
third party web sites which, as an example herein, include Flickr;
YouTube; Facebook; and Lastfm. Import function 400, being a module
in the system (see system 223, in FIG. 8), issues upload commands
cmd unique to each third party web site. Therefore, in general, the
User U1 profile will include tokens or control keys for Flickr,
designated as command cmd-F1, in FIG. 11, YouTube command Y,
Facebook command FB and Lastfm command LF. These third party web
sites must download the content provider controlled content cnt1,
2, 3 and 4 due to the control tokens ultimately authorized by
content provider-user U1. User profile U1 402 is generally
identified in import function 400 block.
The output from input function block 400 leads to web page compiler
404 and ad compiler 406. These functional blocks are described
earlier in connection with FIGS. 1-10. Ultimately, the compiled or
merged web page is posted or published on the Internet at a
particular Internet address. Publisher function block 408 indicates
that the content is posted as a "cnt page."
Various users, some registered and some unregistered, view the
content page 408. These users-visitors are identified as U2, 3, 4
and others. Some of these users are registered and the registered
users may post comments cmt on the content page 408. Other users
have quality approval rating tokens or QA tokens which may be
posted on particular content on that published web page. This is
discussed later in conjunction with FIG. 13. The accounting program
module 410 carefully monitors the user-visitor interaction with
content page 408. A tracking monitor is used. Some of the
users-visitors click on display advertisements on content page 408
resulting in the user being transferred a corresponding advertiser
designated web site. The user-visitor employs and operates a
hyperlink on the display ad on content page 408. The revenue input
function 412 shows that the system obtains click per impression cpm
revenue 414, click through revenue 416 and sales commission revenue
418. From revenue input module 412, account program 410 handles and
shares this revenue between various participants in the system. For
example, the system operator has a transaction fee module 420 which
processes paths 421, 423, 425 which show revenue sharing of the
input revenues into account program 410, 412. Revenue share 421 is
dedicated to the content provider via a first fee sharing module.
Payment processor 430 enables the content provider user to withdraw
earnings from account program 410 via a designated debit card,
credit card, or to deposit the earnings into a financial
institution account, a micro payment account or a virtual currency
account. The following Payment and Payment Processor Option Table
shows various payment actions by the system.
Payment and Payment Processor Option Table
System Condition:
A. Account exceeds $x (e.g., $25.00) B. User initializes third
party payment processor input profile and processor accepts user
data and revenue sharing protocol. Third Party Payment Processors
debit card, linked to financial institution (e.g., bank, brokerage)
smart card (on-board memory) linked to fin. inst. payment toward
credit card account cell phone account Pay Pal or other
Internet-based payment processor micro payment processors (Con
tenure, Allo pass, Jupiter media, etc.) virtual currency processors
(zynge, SGN (social gaming network))
Revenue sharing portion 423 is designated as the referral revenue
share and ultimately the referral revenue share is also sent to
payment processor 430. Another fee sharing module is used to
compensate persons who refer the content provider U-1 to the
system. Revenue path 425 is dedicated to one or more user-viewers
who are quality approval QA voters. Another fee sharing module is
used to compensate QA user-voters. As explained later, the QA
voters may be grouped in tiers such as a first tier, second, third
and fourth tier or may be compensated on a singular basis.
In addition to the User Profile Table discussed above in connection
with FIG. 1, the user has access to an Account display as part of
his or her profile. The Account display, in one embodiment,
includes an Earnings Table and a Balance Sheet Table.
TABLE-US-00010 Account - Earnings Table View History: All Time
(alternative: 30, 60, 90 days) Current Rate: $0.82 Views Average
Rate Earnings 1.0 All Content 4793 $0.99 $4.76 1.1 Blogs
<Top> 179 $0.99 $0.17 1.1.1 "Red Gage Rocks" 63 $0.99 $0.06
1.1.2 "Neodymium magnets: Beware" 35 $0.99 $0.03 1.1.3 "Dragon
Letter art" 49 $1.00 $0.04 1.1.4 "PEOPLE" 13 $1.00 $0.01 1.1.5
"Moore says.." 11 $1.00 $0.01 1.2 Photos <Top> 3258 $0.99
$3.24 1.3 Videos <Top> 68 $1.00 $0.06 1.4 Documents
<Top> 0 $0.00 $0.00 1.5 Links <Top> 1288 $0.99 $1.28
2.0 Total Earnings: $4.76 3.0 Feature Bonus Earnings: 3.1 Home Page
2 Mcpm $.0001/cpm $200 3.2 Content Segment Page xx xx xx 4.0
Transfer - as User Tip -- -- $0.50 5.0 Transfer - as User Payment
-- -- $10.00 6.0 Charity Share -- 10% total -$21.05 7.0 Contest
Date mm, dd, yr xx 8.0 On Site Activity Level Bonus 8.1 Monthly
views (current affinity points 350; threshold needed 500) -0- 8.2
Monthly content postings (posts 4; level revenue share Rev1) $2.00
8.3 Monthly Frequency Posting Quality Rankings (4 posts; thres. 8;
-0- level 0) 9.0 Earnings Plus Bonus $196.21 Account - Balance
Sheet Table View History: All Time (alternative: 30, 60, 90 days)
Available Balance $4.76 Withdraw $mm.nn ($15.00 min'm w/d; $25.00
min'm bal.) Description Type Status Amount (debit/cr) Balance May
1, 2009 Monthly Earnings dep clear 4.40 4.76 Apr. 29, 2009 Bonus
earn dep pending 0.25 4.76 Apr. 18, 2009 tip to Member AW w/d clear
12.24 4.76 Apr. 15, 2009 debit card w/d clear 14.25 17.00 Apr. 15,
2009 transact fee w/d clear 0.75 31.25 Mar. 1, 2009 Monthly
Earnings dep clear 10.25 32.00 Mar. 1,2009 Bonus earn dep clear
5.75 21.75 Feb. 1, 2009 Monthly Earnings dep clear 10.25 16.00 Feb.
1, 2009 Bonus earn dep clear 5.75 5.75 Jan. 1, 2009 Monthly
Earnings dep clear -0- -0- Jan. 1, 2009 Bonus earn dep clear -0-
-0-
The Account Earnings Table enables the user to select a "view
history" which may encompass the entire account time or,
alternatively, a selectable period of 30, 60 or 90 days. Of course,
based upon space, the displayed history may be limited to a
predetermined period of time. The Account Earnings Table also shows
a current rate or cpm or impression per thousand value, sometimes
called clicks per thousand. In other words, if 1000 users-viewers
see the content for content provider user U1 and click through on
an hyperlink from a display ad to an advertiser designated web
site, one cpm is counted by the system. If 9000 users-viewers click
on the ad hyperlink, 9 cpm is tracked by the system. As is known,
advertisers pay for click through advertising, sometimes called
"sales referral fees" herein, based upon cpm or clicks per
thousand. Returning to the Account Earnings Table, the current rate
of $0.82 is the average cpm for all content posted by user U1 and
accounted for in the Account Table section row 1.0 through 2.0. In
use, the Account Table does not include section row indicia 1.0,
1.1, etc.
The Account Earnings Table, in one embodiment, shows all content,
the cpm values, and the average cpm rate for the itemized content.
The content category is further subdivided into 1.1 blogs, 1.2
photos, 1.3 videos, 1.4 documents and 1.5 links. The user may
select an appropriate display command to show all blogs under blogs
1.1 such that all the listed blogs are identified. For example, the
user U1 maintains a "red gage rocks" blog 1.1.1 and a different
"people" blog 1.1.4. Item 2.0 in the Account Earnings Table is the
total earnings. Section 3.0 of the Account Earning Table is a
listing of all feature or bonus earnings. Row or section 3.1
indicates that the user U1 has content on the homepage for the
overall system web site. The system operator assigns a bonus for
content displayed on the system homepage. The Account shows views
of 2 million cpm at $0.0001/cpm resulting in earnings of $200.00.
Row 3.2 in the Account Earnings Table shows that the content may be
on a "segment" or category page. A segment may be "automobiles" as
compared to "music" or other general entertainment category. Row
4.0 lists any transfers that are made from one registered user to
another registered user and these 4.0 transfers are called "tips".
Row 5.0 is a transfer direct from one user to another user. Row 6.0
is a charity share which the user elects to pay a designated
charity from his or her cpm earnings, typically for a certain
content page. User U1 may designate that all future bonus earnings
be subject to a 10% charity share such that the earnings within the
"future bonus earnings" group, that is, 10% of those earnings, are
dedicated and transferred to a designated charity of his or her
choice. Single content may also be selected. The published
"charity" content pages will be uniquely marked as "charity
donation" on the designated published web page to drive addition
traffic therethrough. Row 7.0 shows earnings from a contest, which,
in one embodiment, is designated by a contest opening date, month,
day and year. Section 8.0 lists on site activity level bonuses.
Typically, these may be considered affinity rewards or bonuses
based upon the user being a viewer rather than a content provider
on the web site. Row 8.1 shows monthly views for User U-1 and the
current affinity point value and the threshold value needed to
achieve a certain predetermined dollar or compensation bonus. The
dollar bonus for the monthly viewers is set by the system operator
in its discretion. Row 8.2 is a monthly content posting count
(quantity). In this situation, user U1 has posted 4 content pages
in the current month which is set at revenue level share Rev1. A $2
bonus is paid by the system operator for at that revenue share
level. If higher cnt postings are made by user U1, at certain
predetermined thresholds, higher bonus levels are paid. For
example, the revenue share bonus level Rev2 may be $10.00 and
revenue share level Rev3 may be $20.00.
Row 8.3 is a monthly frequency posting quality rating QA token
count. In one example, each registered user has 5 QA tokens which
the user may post and/or withdraw from any content on a particular
published web site. In the Account Earnings Table, the user has
posted 4 QA tokens this month. He has one QA token in his account
which is not assigned to content. The threshold level, set in the
discretion of the system operator, is 8 QA postings per month.
Therefore, the user has not achieved the monthly frequency
threshold. If the user posted all 5 QA tokens, and then withdrew
and re-posted 3 tokens, he would reach threshold level 1 (8 QA
postings) and get, for example, a $2.00 bonus from the system
operator.
The row designators 1.0 to 9.0 are not shown in the user Account
display.
The Account Balance Sheet Table listed above also shows a time
frame which is selectable by the user, the user's available balance
and the withdraw request threshold amount shown as $mm.nn. In the
current embodiment, there is a $15.00 minimum withdrawal threshold
and a requirement that the user must have an account balance which
exceeds $25.00 in order to withdraw or transfer any money to
payment processor 430. The description, type, status, amount and
balance is shown in the Account Balance Sheet Table. Entries Jan.
1, 2009 shows zero (-0-) amount for monthly earnings and bonus
earnings. The Feb. 1, 2009 monthly earnings and bonus earnings show
credits of $10.25 and $5.75. On April 14, the user has transferred
money from the system account for U-1 and withdrawn $15.00 worth of
earnings, paid to the designated payment processor. Currently, the
payment processor is a debit card tied to a financial institution.
The withdrawal of the $15.00, less the system transaction fee of
$0.75, is sent to the financial institution maintaining the debit
card for user U-1. The entry of Apr. 18, 2009 shows that user U-1
has transferred a tip to member AW of $12.24. Accordingly, member
AW account has a credit of $12.24. The Apr. 29, 2009 entry for
bonus earnings is pending since those earnings have been posted but
not yet received by the system operator in the amount of $0.25.
When the status of bonus earnings for April 29 changes from pending
to clear, the $0.25 will be added to the balance to show a
"cleared" balance.
FIG. 12 diagrammatically illustrates multiple incentives provided
for sharing the cpm revenue, those incentives given to viewers in
the form of affinity rewards or loyalty rewards, to content
provider users, to voters for quality approval QA posting, to users
participating in contests, to users who refer other users to the
system, to charity, to tips transferred from one registered user to
another registered user and to simple transfers on account from one
user to another. Cpm revenue and sales commission revenue enter the
system 450 at one end. Affinity rewards or loyalty rewards
functional module 452 enhances the viewing frequency and provides
an incentive to users and viewers to become registered users.
Simply viewing content by a registered user may trigger a loyalty
reward. The on site activity level bonus in the Account Earnings
Table provides some indication of an affinity reward program.
Content provider incentive module 454 is discussed earlier.
Promotion incentive functional block 456 provides a registered user
with the ability to post QA tokens or rankings on selected content.
Contest functional block 458 enables a registered user to obtain
additional rewards, prizes and potential earnings from contests
maintained by the system operator. For example, the contest may
include rules such as everyone who posts any content of any nature
within a one month period has a "contest ticket" randomly assigned
to his or her account. At the end of the month, the system operator
will randomly select one the contest ticket and award a money bonus
or something else of value.
The referrer share incentive function 460 indicates that registered
users who refer other registered users to participate in the system
are rewarded. This incentive is discussed earlier. Charity share
function 462 enables a content provider or other registered user to
dedicate a certain percentage of sales referral fees from
designated content to be sent to a user designated charity. To
further incentivize viewers and content providers, content web
sites are marked with a display indicating that certain revenues
are shared with a designated charity. Function blocks 464 and 466
list transfer payments from one user to another user. Block 464 is
a "tip transfer" similar to a tip given from a patron to a waiter
or waitress, that is, from one registered user to another
registered user. Function 466 is a transfer module enabling one
registered user to transfer some or all of his or her earnings to
another registered user. Revenue sharing module 468 indicates that
cpm revenue and sale commission revenue input into system 450 is
shared by content providers, persons referring the content
providers to the system, registered users who place QA tokens,
sometimes called QA voters, and user affinity rewards. Charities
also share revenue. The system operator collects processing fees
from all these actions.
The shared associated sales referral fee with the content
provider-user is based upon a predetermined formula. The formula or
algorithm can account for various factors including: the supplied
content (e.g, if the content is high quality of a long video, then
the shared revenue from the system operator may be higher compared
to a single 3 sentence blog entry), a gross value of the associated
sales referral fees set by the corresponding advertiser designated
web site (how much cpm is the system operator paid and is the cpm
to the system operator above a certain minimum amount), the
frequency at which the content provider posts other content either
directly or through automatic third party web site uploads
(frequency of posting), a predetermined user-visitor profile (if
the user-visitor is a highly regarded critic who posts a favorable
comment, the content provider share of revenue may be increased
(e.g., the New York Times food critic posts a favorable comment on
a recipe blog entry posted by a content provider)), a predetermined
user-visitor group profile (e.g., any posting from the Rolling
Stones magazine), a user-visitor referral source (a user referred
by a well connected referral source may increase the content
value), the number of user-visitors who go to the published web
page with the supplied content (total visitors times the cpm, maybe
with threshold steps which increase the cpm share paid to the
content provider (or decrease)), a time of visit factor per
user-viewer (the longer time users stay on the content site
indicates higher quality), per visit time on site or an aggregate
thereof for each user-visitor who goes to the published web page
with the supplied content, a frequency of return to the published
web page with the supplied content for each user-visitor who
returns to the published web page with the supplied content. The
content provider shared formula may include all or a portion of
these factors.
The formula for sharing associated sales referral fee with the
user-QA voter, a registered user-visitor who post quality tokens on
quality branded content, is also based upon a predetermined quality
ranking formula accounting for various factors. Some of these
factors are discussed above in connection with the content provider
formula. The factors in the QA shared revenue formula are: the
total number or quantity of posted tokens on quality branded
content, the user's frequency of posting quality tokens on QA
branded content, the gross value of the associated sales referral
fee set by the advertiser designated web site, the sequential order
of posting the QA token by registered user-visitor compared
time-wise with other QA voters, the registered user-visitor's
profile (if the user is a well known critic, the user gets a higher
share when the well known critic posts a comment on the content),
the registered user-visitor's group profile (e.g., any QA post from
the Rolling Stones magazine), the shared sales referral fee
dedicated to the content provider who supplied the branded content,
the number of user-visitors who go to the published web page, a
time of visit factor (when does the user post the QA token), tokens
per visit by the user-visitor or an aggregate of QA postings over a
set period of time (e.g., 12 QA postings in 24 hours of the content
post date results in a higher QA shared return to the QA
poster-voters and the content provider than "slower" QA branding on
other content), the number of user-visitors who go to the published
web page with the supplied content, a frequency of return to the
published web page, for each user-visitor and each user-voter
group.
FIG. 13 diagrammatically illustrates the quality approval QA
ranking program 470. Step 471 indicates that a new user registers
with the system and completes the user profile. As part of the
completion of the user profile, step 472 has a functional block
wherein the system assigns a certain predetermined number m QA
tokens to the user. Step 474 displays, in the user profile, the
number of QA tokens assigned, the number QA tokens available for
assignment, and also a list of content which currently has been
designated as quality approved QA by user U-1. Step 476 is a
request (req.) by user U-1 to assign one or more QA tokens to a
certain designated web site .Iadd.or QA time on site to assign QA
token to the site.Iaddend.. Decision 478 determines whether the
user has tokens available for assignment (has the user assigned all
m tokens?) and determines whether the QA token assignment is
permitted within at time frame. The current embodiment of the
invention does not have at time frame lock once a QA token is
assigned to content. Another embodiment of the invention may
require that once a QA token is assigned to designated content by a
user, the token must remain on the content for a predetermined t
period of time, for example, one hour, twenty-four hours or thirty
days. If the decision block 478 is negative, the NO branch is taken
and step 477 issues a rejection of the token assignment request and
notifies the user of the same. Reset function 479 resets other
tokens in the user profile. If the YES branch is taken from
decision step 478, in step 480, the system assigns the QA token to
the content and updates the content provider's account, indicating
that a quality assignment QA has been made by a user and also
updates a user's QA data in the user profile. Step 482 is a web
page tracker which monitors the number of visitors on the web site,
the number of clicks from ads on the web site, the time each
visitor stays on the web site, the number of QA tokens on the site,
the length of time each QA token stays on the site and other items
discussed above. With respect to a singular user U-1 who has posted
a token QA on a web site, that user, in the current embodiment,
would be compensated with a share of the sales referral fees during
the time the user U-1 QA token is on the site. Once the user takes
the token off the content on the published web site, the revenue
U-1 share for that QA token ends.
The incentive permits each registered user to quality approve QA
one or more pieces of content on the website and the economic value
of that action is set forth in the following Table A and B. The
User Viewer Early Quality Approving Voters-Influence Reward Table A
shows events at certain time periods t1, t2, t3 and t4. All numbers
are examples since actual cpm values are set by advertisers.
TABLE-US-00011 User-Viewer Early Quality Approving Voters -
Influence Reward Table A Time t4 (t1 before t1 t2 t3 t2 > t3
> t4) Viewer Count in cpm .001 5 10 150 Creator cpm value base m
decr. n decr. o decr. p example 2.1 1.00/cpm 1.20 1.44 (m > n
> o > p) 1.728 ex. Content Creator 100% 90 80 70 %* ex.
Content Creator 1.00 1.08 1.152 1.2096 cpm ex. $ to Content 0.001
5.40 11.52 181.44 Creator Sequence of Qual. -none- QA V1 QA V2 QA
V3 Rank Total QA Voter share -0- 10% 20% 30% %* Total QA Voter cpm
-0- 0.12 0.288 0.5184 QA V1 share of -0- 100% 90 80 V total % QA
Voter V1 cpm -0- 0.12 0.2592 0.41472 QA V2 share of -0- -0- 10% 12
V total % QA Voter V2 cpm -0- -0- 0.0288 0.062208 QA V3 share of
-0- -0- -0- 8% V total % QA Voter V3 cpm -0- -0- -0- 0.041472 $ to
QA Voter V3 -- -- -- 6.2208 *The amount allocated by the System
Operator to be dedicated to payment of content providers, quality
voters and others, in the sole discretion of the System Operator,
not the total cpm click-through ad revenue received by the System
Operator.
At time t1, there is only one viewer noted on the published web
site with the merged content. Therefore, the cpm viewer count is
0.001. At time t2, the cpm count is 5 cpm equivalent to 5000
viewers. Therefore, at time t4, 150,000 users have viewed the
published web page. The creator has been assigned a cpm value by
the system operator as example ("ex.") 1.00; 1.09; 1.152; 1.2096
and the system operator cpm is 1.00; 1.20; 1.44; 1.728 for all
compensated parties. The cpm value has some relationship to the
sale referral fees paid by the third party advertisers to the
system operator. However, the system operator establishes the
content provider or creator cpm and, further, establishes the
referral revenue sharing rate or percentage as a QA token incentive
rate or percentage. The creator cpm may decrease in amount from m,
n, o, and the smallest amount p is based upon increasing thresholds
of cpm viewers. In example 2.1, $1.00 cpm is dedicated by the
system operator as the total incentive cpm payment for all
compensated parties, herein the content creator and the QA voters.
See t1 time. At 5 cpm, the dedicated "compensated party" incentive
is $1.20 and over 100 cpm, the dedicated cpm is 1.728. To
incentivize the QA voters or users applying quality approval QA
tokens, the creator share of the sale referral fees decreases from
100% at time t1 to 70% at time t4. However, since there are far
greater viewers (150 cpm) at time t4, the earnings to the creator
are $181.44 even though the creator or content provider share is
70% of the incentive dedicated cpm at 1.728. In order to
incentivize registered users who are early voters (early adopters),
the proposed system gives a much higher revenue share percentage to
early QA voters as compared with later QA voters. The sequence of
quality voter rankings is 0 at time t1 (no voters), at time t2
there is only one QA voter V1, at time t3 there is a second QA
voter V2 and at time t4 there is a third QA voter V3. Voter QA V1
has a 10% share of the total cpm allocated to the incentive program
at time t2. At time t3, the "incentive pool" cpm has increased to
$1.44 and the allocation to the creator is 80% of the "shared
incentive revenue" from the system operator and the remaining 20%
at time t3 is allocated to all QA voters at that time-based tier.
At time t3, user QA V1 receives 90% of the QA share (90% of $0.288)
and user QA V2 receives 10% of the total QA voter share (0.288). At
time t4, a third user has voted as QA V3 and the creator content
share of the incentive pool cpm is 70% (70% of 1.728) and the total
voter share for the cpm revenue is 30% (see 0.5184). The total QA
voter share is split between QA V1 with a share of 80%, QA V2 with
a share of 12%, and QA V3 with a share of 8%.
TABLE-US-00012 User-Viewer Early Quality Approving Voter Tiers -
Influence Reward Table B Time t1a t2b t3c t4d Viewer Count in cpm
.001 5 10 150 Sequential Qual. Rank voter B tier C tier example
Voter Tier levels A tier 11-20 21-30 <10 ($0 > 30 V) Total QA
Voter share % -0- 10% 20% 30% Total QA Voter cpm -0- 0.12 0.288
0.5184 QA V1-A share of V total % -0- 10% 9 8 QA V2-A share of V
total % -0- 10% 9 8 etc. to V10-A QA Voter V1-A cpm -0- 0.012
0.02592 0.041472 QA Voter V2-A cpm -0- 0.012 0.02592 0.041472 etc.
to V10-A QA V1-B share of V total % -0- -0- 1% 1.2 QA Voter V1-B
cpm -0- -0- 0.00288 0.0062208 QA V2-B share of V total % -0- -0- 1%
1.2 QA Voter V2-B cpm -0- -0- 0.00288 0.0062208 QA V1-C share of V
total % -0- -0- -0- 0.8% QA Voter V1-C cpm -0- -0- -0- 0.0041472 QA
V2-C share of V total % -0- -0- -0- 0.8% QA Voter V2-C cpm -0- -0-
-0- 0.0041472
The User-Viewer Early Quality Approving Voter Tiers-Influence
Reward Table B shows the results when the users are grouped into
quantity-based tiers of voters. In this example, each tier has 10
voters. Table A is a sequence time-based revenue sharing plan.
Therefore, at time t2b, there are 10 QA voters or less. At time t3c
there are 11-20 QA voters and at time t4d there are 21-30 QA
voters. The total QA voter incentive share is tiered at 10% at t2b,
20% at t3c and 30% at t4d. However, since there are 10 voters in
each tier, the first tier A users QA V1-A through QA V10-A, the
first 10 QA voters (tier A), each receive 10% of the total QA
incentive voter share of 10% (10% of $0.12). Therefore, if all the
QA voters are assigned in the first tier at $0.12 cpm, then each QA
voter in tier A receives $0.012 cpm. With tier B at time t2b, the
first tier A receives 9% of the QA incentive pool (0.288) and the
second tier listed by QA V1-B and QA V2-B each receives 1% of the
pool. Tier B includes voters QA V1-B to QA V10-B. At time t4d, the
first tier voters QA V1-A, QA V2-A each receive 8% of the total
voting compensation share and the second tier of voters QA V1-B and
QA V2-B each receive 1.2% and the third tier QA V1-C and QA V2-C
each receive 0.8% of the voter cpm. Other incentive programs and
algorithms and formulas may be employed to provide an incentive to
user viewers to post QA tokens on content. If any QA voter removes
his QA token, all sequential followers move up in revenue share
rank. Alternatively, the sequence time compensation may be fixed
and the system operator may retain the withdrawn incentive payment.
Of course, the third party advertisers reward content providers who
achieve high quality approval QA rankings. For example, the system
operator may have a "vote open" time window which subsequently
closes and therefore incentivizes early voters. Further, the system
operator could have a blackout period (no votes accepted) or
timeout period such that the QA token on a particular content would
be removed after a certain period of time. For example, the timeout
function may remove a QA token after 30 days. This timeout function
clears some "dead weight" QA ratings and further enables and
incentivizes the user viewers to repost the tokens. Additionally,
the system operator may require that content maintain a certain cpm
for a certain period (10 cpm) over a 7 day period before any QA
token may be posted. The reverse may apply in that QA tokens may
not be posted if cpm exceeds 1,000 cpm. Further, rather than having
QA voters stacked in stepwise tiers as noted in Influence Reward
Table B, the QA voters could be individually and incrementally
increased in rewards more like Influence Reward Table A. Various
mathematical models may be employed to incentivize QA voters,
content providers and referrer users. The number of QA voters
rewarded may be set or changed by the system operator. The
following Graduated Ranking Table shows a different type of
ranking.
TABLE-US-00013 Graduated Ranking Table User-Viewer Profile Quality
Approval ("QA") markers assigned ----- $ QA markers available for
assignment ---- $ Graduated scale for each QA marker A - 4 points B
- 3 points C - 2 points D - 1 points Average assigned QA value
________ Content Listings QA - A hyperlink content web page AA- 1
Change - delete - QA - C hyperlink content web page AA-3 Change -
delete -
The QA tokens discussed in Table A and B above are single value
tokens. However, the tokens themselves may have a graduated scale,
for example, each QA token may have a graduated value A thru D. A
QA token graded A may carry 4 points whereas a QA token grade D is
assigned 1 point. Therefore, the user-viewer posting the QA token
has more control or can "fine tune" his or her quality assignment
QA to the content. In other words, if the user-viewer has five
tokens, each worth a graduated scale A, B, C and D, the user can
post first token grade A, second token grade C, third token grade
D, and forth token grade D, and fifth token grade D, indicating
that the user is critical of all content on the site so the average
"grade" of QA tokens is D. The action may be tracked in the User
Profile and the system operator may adjust other factors effecting
earnings accordingly. The Graduated Ranking Table above shows that
the user profile may list the content which the user has applied
his or her tokens and may list the grade of each token
assigned.
FIG. 14 diagrammatically shows the Account Maintenance Program. The
left column in the Account Maintenance Program indicates an action,
the second column indicates the effect on the content and the third
column on the right indicates the accounting process. In the first
row, the user, as a content provider, registers with the system.
The effect on the content (center column) refers to the function
that the content is uploaded through the upload module and further
that this upload occurs automatically from the third party site.
The system stores the upload approved key token from the user
content provider. From the account process column, the user
initializes the payment account and payment processor. Currently,
the payment processor is a debit card tied electronically to a
financial institution. Earnings from a user's account can be
transferred to debit card by an electronic command from the user.
Thereafter, the earnings are transferred to the financial
institution who issued the debit card. The user can then access
money from the debit card thereby monetizing the content, the
referral fees, and the user QA incentives.
The second row shows an action from a third party site wherein the
effect on content is an automatic upload of content from the third
party site. The fourth row notes that the system operates and posts
content with relevant ads on the system web site. The account
process for the post content step increments the content provider
user profile. The next action involves other users or other content
providers and the effect on the content is to view the content on
the published web page, to post links on the published content, to
assign QA quality approval tokens or rankings to the content and to
promote other content providers to post comments on the published
web page. The account process increments the content provider's
profile as well as increments the QA voter-user profile and the
comment provider profile. In the next action, the system
accumulates click through ad revenue and sale commission revenue
based upon the performance of the content in the Internet
marketplace. The account process enables the system to update the
content provider earnings table and update the referral earnings
table and update the QA voter-user earnings table. The next action
involves the system and the content provider account or referral
account or QA voter-user account and, particularly, indicates an
action when the earnings account exceeds an account threshold. In
one embodiment, the earnings disbursal account threshold is $25.00.
The effect on content is to email or otherwise notice the content
provider, QA voter etc. The account process enables the content
provider or QA voter to transfer money from the earnings account to
the identified payment processor. The last action in the last row
indicates the system has no effect on the content but, the account
process resets the content provider account value and all other
account values to reflect transfer out of the earnings to the
payment processor.
General System Description
The following Abbreviations Table lists items shown in the drawings
and explained above.
TABLE-US-00014 Abbreviations Table acct account ad advertisement
Admin Administrator amt amount ASP application service provider -
server on a network API application program interface app approve,
such as the application of a quality token to approve the quality
of on-line content ave average, a mathematical function or result
bd board cat category CD-RW compact disk drive with read/write
feature for CD disk comm. communications, typically
telecommunications cmd command cmt comment, such a posting a
comment related to on-line posted content cnt content comm'n
commission as in sales commission cpm 1000 consumer or viewer
impressions or views on a web page, "m" is "mil" for 1,000 CPU
central processing unit crd card, as in debit card or credit card
cr. crd. credit card db database decr decrement or reduce in value
disp display or code doc document dr drive, e.g., computer hard
drive descrpt description earn earnings, usually estimated earnings
equip equipment ent entertainment ex example fin financial as in
bank, brokerage fin inst financial institution freq frequency fnc
function, as in system function geo geographic location or code gen
general hist historic as in historic session records id'd
identified or earlier input into the system as being associated
with the listed item I/O input/output IP Internet Protocol such as
IP address incr increase or increment loc location mem memory mess
message as in SMS or text message obj object, for example, a data
object pgm program Pro provider, such as provider of content P/W
password pg web page pp impress per page impression or view pix
picture, usually digital picture or image pmt payment Q quantity QA
quality approved token or marker, such as a User placing a QA token
for on-line content posted by a Content Provider qual quality such
as a QA token or marker rcd database record or record profile re
regarding or relating to reg'd registered as in reg'd user reg
registered as in reg user rel relevancy or relevant req request rev
review rpt Report sch search sel select or selector sys system sess
session t time txt text tele-com telecommunications system or
network thres threshold, or a fixed valve which, when reached by
the identified quantity, triggers another event tot total URL
Uniform Resource Locator, x pointer, or other network locator vid
video
Persons of ordinary skill in the art recognize that the users of
the method and system employ respective computers or computing
devices such as personal data assistants or Internet enabled cell
phones to upload content to the operating system. See FIG. 1,
content upload 12, user sign-on 10 and the content filter 20 on
server system 10, compiler 40 and web page data base 34 all on the
server system 10 operated by the system operator. A global
telecommunications system or Internet 221 in FIG. 8 enables
communication and data transport between a plurality of relatively
independent computer systems or computer enabled devices operated
by the users. As known, a client-based user computer system
includes a monitor or display unit for browser 212 to see the
content to be uploaded, an input device or keypad used to issue
commands and add textual content to be uploaded to the system,
sometimes a command or input device--mouse, and the server system
10 (FIG. 1) has a central processor unit operative with the data
base 24. The processor unit operates with a memory and an
input/output or I/O device or module. It should be appreciated that
the memory represents many types of data storage including hard
drives, volatile and non-volatile memory, and removable drives.
Also, the I/O represents a plurality of input/output devices which
are utilized to couple items which are peripheral to processing
unit. The I/O is connected to Internet 221. At the system, a
computer is designated as an administrative computer which assists
in the overall control and operation of the system and the method
described herein. User computers are client computer systems 211
operated by users who upload data via the Internet 221. Third party
computing systems 213, 217 are connected to Internet 221 and
ultimately to system 223 which operates the method described
herein. Other computer servers 247, 249, 251 publish previews via
Internet 221.
In a preferred embodiment, the system 10,223 and method are
deployed on Internet 221 (FIG. 8) via computer system server 223.
The server system includes a CPU, memory units and an I/O and is
coupled to Internet 221.
In a preferred embodiment, uploaded content or user visits to the
server system 223 are obtained by utilizing a web browser 212 or
other type of interface on a user's computer 211 (a client
computer) as deployed by server system 223. The information
obtained by computer sever system 223 is generally stored in server
memory. See, for example, data base 24. Thereafter, the information
is processed by server system 223 and the output information
representing processed data is delivered to the user computer 211
via Internet 221 or to other web sites or publishers 247, 249, 251,
via Internet 221.
Discussion of Hardware and Software Implementation Options
The present invention could be produced in hardware or software, or
in a combination of hardware and software, and these
implementations would be known to one of ordinary skill in the art.
See relevancy engine 232 and the process in FIG. 4. The system, or
method, according to the inventive principles as disclosed in
connection with the preferred embodiments, may be produced in a
single computer system having separate elements or means for
performing the individual functions or steps described or claimed
or one or more elements or means combining the performance of any
of the functions or steps disclosed or claimed, or may be arranged
in a distributed computer system, interconnected by any suitable
means as a local area network (LAN) or widely distributed network
(WAN) over a telecommunications system (such as the Internet) as
would be known to a person of ordinary skill in the art.
According to the inventive principles as disclosed in connection
with the preferred embodiments, the invention and the inventive
principles are not limited to any particular kind of computer
system but may be used with any general purpose computer, as would
be known to a person of ordinary skill in the art, arranged to
perform the functions described and the method steps described
herein. The operations of such a computer, as described above, may
be according to a computer program contained on a medium for use in
the operation or control of the computer, as would be known to
person of ordinary skill in the art. The computer medium which may
be used to hold or contain the computer program product, may be a
fixture of the computer such as an embedded memory or may be on a
transportable medium such as a disk, as would be known to one of
ordinary skill in the art.
The invention is not limited to any particular computer program or
logic or language, or instruction but may be practiced with any
such suitable program, logic or language, or instructions as would
be known to one of ordinary skill in the art. Without limiting the
principles of the disclosed invention any such computing system can
include, inter alia, at least a computer readable medium allowing a
computer to read data, instructions, messages or message packets,
and other computer readable information from the computer readable
medium. The computer readable medium may include non-volatile
memory, such as ROM, flash memory, floppy disk, disk drive memory,
CD-ROM or other optical memory storage devices, and other permanent
storage. Additionally, a computer readable medium may include, for
example, volatile storage such as RAM, buffers, cache memory, and
network circuits.
Furthermore, the computer readable medium may include computer
readable information in a transitory state medium such as a network
link and/or a network interface, including a wired network or a
wireless network, that allow a computer to read such computer
readable information.
The claims appended hereto are meant to cover modifications and
changes within the spirit and scope of the present invention.
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