U.S. patent application number 16/420478 was filed with the patent office on 2019-11-14 for method, apparatus, and computer program product for calculating a provider quality score.
The applicant listed for this patent is Groupon, Inc.. Invention is credited to Bob Beaty, Matt Deland, Derek Nordquist, Shafiq Shariff.
Application Number | 20190347700 16/420478 |
Document ID | / |
Family ID | 61872718 |
Filed Date | 2019-11-14 |
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United States Patent
Application |
20190347700 |
Kind Code |
A1 |
Shariff; Shafiq ; et
al. |
November 14, 2019 |
Method, Apparatus, and Computer Program Product for Calculating a
Provider Quality Score
Abstract
Provided herein are systems, methods and computer readable media
for assigning, calculating or determining a provider quality score.
An example method comprises capturing metric information from a web
source, the metric information indicative of a product, service, or
experience performance of a provider. For example each of a number
of reviews and the total number of reviews may be captured. The
method may further comprise assigning a provider quality score.
Inventors: |
Shariff; Shafiq; (Chicago,
IL) ; Deland; Matt; (San Francisco, CA) ;
Beaty; Bob; (Chicago, IL) ; Nordquist; Derek;
(Chicago, IL) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
Groupon, Inc. |
Chicago |
IL |
US |
|
|
Family ID: |
61872718 |
Appl. No.: |
16/420478 |
Filed: |
May 23, 2019 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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13826866 |
Mar 14, 2013 |
10346887 |
|
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16420478 |
|
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61730046 |
Nov 26, 2012 |
|
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61709623 |
Oct 4, 2012 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G06Q 10/06311 20130101;
G06Q 30/0202 20130101; G06Q 30/0282 20130101 |
International
Class: |
G06Q 30/02 20060101
G06Q030/02; G06Q 10/06 20060101 G06Q010/06 |
Claims
1-81. (canceled)
82. A method for identifying one or more supply sources as able to
supply at least a portion of a residual demand in a particular
geographic region for a particular good or service, the one or more
supply sources not currently engaged in offering any portion of the
total demand, by calculating a provider quality score for each of
the one or more supply sources, the provider quality score being a
predictive value that is indicative of how well a potential supply
source tasked with supplying a good or service determined to be in
demand would perform during a promotion offered by a promotion and
marketing service and how well consumers would react to the
promotion, the method comprising: receiving information indicative
of the residual demand for the particular good or service;
identifying the one or more supply sources that are able to supply
at least a portion of the residual demand for the particular good
or service in the particular geographic region; for each of the one
or more supply sources: capturing, via a web data capturing
algorithm, from one or more third-party websites, one or more
metrics relating to a provider, wherein the one or more metrics are
indicative of a third party evaluation of at least one of a
product, service or experience provided by the provider, a
performance of a provider, or the provider itself; capturing, via
the web data capturing algorithm, from the one or more third-party
websites, a number indicative of a quantity of the one or more
captured metrics; and calculating, via one or more processors, a
provider quality score based on the one or more metrics and the
number indicative of the quantity of the one or more captured
metrics, wherein the provider score provides an indication of
future provider performance and future third party reaction to the
provider; generating a ranking of the one or more supply sources
that meet a predetermined threshold; and utilizing the portion of
the particular good or service that each of the one or more supply
sources is able to provide, generating a list comprised of those
supply sources that are able to provide at least some portion of
the residual demand, wherein the list is ordered in accordance with
the ranking of the of the one or more supply sources that meet the
predetermined threshold.
83. The method according to claim 82, wherein the calculation of
the provider quality score comprises: aggregating one or both of
(i) one or more of ranking-type review information, like-type
review information, star-type review information, and (ii)
category-specific type information, wherein aggregating of the one
or both of (i) one or more of ranking-type review information,
like-type review information, star-type review information, and
(ii) category-specific type information comprises: converting any
of the one or more of ranking-type review information, like-type
review information, and star-type review information into provider
quality score type information by assigning providers with review
information indicative of a first range of values a first value,
and assigning those providers with review information of a second
range of values, the second range of values being higher or better
than the first range of values, a second value, the second value
being higher or better than the first value; converting
category-specific type information into provider quality score type
information by calculating a weighted average of the provider
quality score type information associated with any of a category,
sub-category, location, hyper-location, price of the product, or
service or experience the provider is expected to provide;
assigning one of a first subset of provider quality scores upon a
determination that an average value of the provider quality score
type information meets a first review threshold and a number
indicative of the quantity of the one more captured metrics meets a
first quantity threshold such that a merchant assigned one of the
first subset of provider quality scores comprise both the average
value of the provider quality score type information that meets the
first review threshold and the quantity of the one more captured
metrics that meets the first quantity threshold; assigning one of a
second subset of provider quality scores upon a determination that
the average value of the provider quality score type information
meets the first review threshold and the number indicative of the
quantity of the one more captured metrics fails to meet the first
quantity threshold such that a merchant assigned one of the second
subset of provider quality scores comprise both the average value
of the provider quality score type information that meets the first
review threshold and a quantity the one more captured metrics that
fails to meet the first quantity threshold; and assigning one of a
third subset of provider quality scores upon a determination that
the average value of the provider quality score type information
fails to meet the first review threshold and the number indicative
of the quantity of the one more captured metrics fails to meet the
first quantity threshold such that a merchant assigned one of the
third subset of provider quality scores comprise both an average
value of the provider quality score type information that fails to
meet the first review threshold and a quantity the one more
captured metrics that fails to meet the first quantity
threshold.
84. The method according to claim 82, further comprising: detecting
one or more web sources related to provider information; and
determining whether the one or more web sources provide metrics
related to the provider.
85. The method according to claim 82, further comprising: detecting
a provider web site; rating a quality of the provider website; and
factoring the quality of the provider website into the provider
quality score calculation.
86. The method according to claim 82, further comprising: accessing
prior performance data, wherein prior performance data comprises
one or more of data related to a previous provider promotion, data
related to a previous promotion promoted by a related provider, or
data related to a previous promotion promoted by a different
promotion service by the provider; and factoring the prior
performance data into the provider quality score calculation.
87. The method according to claim 82, further comprising: capturing
positive press review information related to a provider;
determining if the positive press review information is from an
acceptable source; and factoring the positive press review
information into the provider quality score calculation.
88. The method according to claim 82, further comprising:
capturing, via the web data capturing algorithm, from the one or
more third-party websites, a press review, the press review
comprising text data; and determining, upon capture of the press
review, that the text data comprises predefined text data.
89. An apparatus for identifying one or more supply sources as able
to supply at least a portion of a residual demand in a particular
geographic region for a particular good or service, the one or more
supply sources not currently engaged in offering any portion of the
total demand, by calculating a provider quality score for each of
the one or more supply sources, the provider quality score being a
predictive value that is indicative of how well a potential supply
source tasked with supplying a good or service determined to be in
demand would perform during a promotion offered by a promotion and
marketing service and how well consumers would react to the
promotion, the apparatus comprising at least one processor and at
least one memory including computer program code, the at least one
memory and the computer program code configured to, with the at
least one processor, cause the apparatus at least to: receive
information indicative of the residual demand for the particular
good or service; identify the one or more supply sources that are
able to supply at least a portion of the residual demand for the
particular good or service in the particular geographic region; for
each of the one or more supply sources: capture, via a web data
capturing algorithm, from one or more third-party websites, one or
more metrics relating to a provider, wherein the one or more
metrics are indicative of a third party evaluation of at least one
of a product, service or experience provided by the provider, a
performance of a provider, or the provider itself; capture, via the
web data capturing algorithm, from the one or more third-party
websites, a number indicative of a quantity of the one or more
captured metrics; and calculate, via one or more processors, a
provider quality score based on the one or more metrics and the
number indicative of the quantity of the one or more captured
metrics, wherein the provider score provides an indication of
future provider performance and future third party reaction to the
provider; generate a ranking of the one or more supply sources that
meet a predetermined threshold; and utilize the portion of the
particular good or service that each of the one or more supply
sources is able to provide, generating a list comprised of those
supply sources that are able to provide at least some portion of
the residual demand, wherein the list is ordered in accordance with
the ranking of the of the one or more supply sources that meet the
predetermined threshold.
90. The apparatus according to claim 89, wherein the calculation of
the provider quality score comprises: aggregating one or both of
(i) one or more of ranking-type review information, like-type
review information, star-type review information, and (ii)
category-specific type information, wherein aggregating of the one
or both of (i) one or more of ranking-type review information,
like-type review information, star-type review information, and
(ii) category-specific type information comprises: converting any
of the one or more of ranking-type review information, like-type
review information, and star-type review information into provider
quality score type information by assigning providers with review
information indicative of a first range of values a first value,
and assigning those providers with review information of a second
range of values, the second range of values being higher or better
than the first range of values, a second value, the second value
being higher or better than the first value; converting
category-specific type information into provider quality score type
information by calculating a weighted average of the provider
quality score type information associated with any of a category,
sub-category, location, hyper-location, price of the product, or
service or experience the provider is expected to provide;
assigning one of a first subset of provider quality scores upon a
determination that an average value of the provider quality score
type information meets a first review threshold and a number
indicative of the quantity of the one more captured metrics meets a
first quantity threshold such that a merchant assigned one of the
first subset of provider quality scores comprise both the average
value of the provider quality score type information that meets the
first review threshold and the quantity of the one more captured
metrics that meets the first quantity threshold; assigning one of a
second subset of provider quality scores upon a determination that
the average value of the provider quality score type information
meets the first review threshold and the number indicative of the
quantity of the one more captured metrics fails to meet the first
quantity threshold such that a merchant assigned one of the second
subset of provider quality scores comprise both the average value
of the provider quality score type information that meets the first
review threshold and a quantity the one more captured metrics that
fails to meet the first quantity threshold; and assigning one of a
third subset of provider quality scores upon a determination that
the average value of the provider quality score type information
fails to meet the first review threshold and the number indicative
of the quantity of the one more captured metrics fails to meet the
first quantity threshold such that a merchant assigned one of the
third subset of provider quality scores comprise both an average
value of the provider quality score type information that fails to
meet the first review threshold and a quantity the one more
captured metrics that fails to meet the first quantity
threshold.
91. The apparatus according to claim 89, wherein the at least one
memory and computer program code are configured to, with the at
least one processor, cause the apparatus to: detecting one or more
web sources related to provider information; and determine whether
the one or more web sources provide metrics related to the
provider.
92. The apparatus according to claim 89, wherein the at least one
memory and computer program code are configured to, with the at
least one processor, cause the apparatus to: Detect a provider
website; rate a quality of the provider website; and factor the
quality of the provider website into the provider quality score
calculation.
93. The apparatus according to claim 89, wherein the at least one
memory and computer program code are configured to, with the at
least one processor, cause the apparatus to: access prior
performance data, wherein prior performance data comprises one or
more of data related to a previous provider promotion, data related
to a previous promotion promoted by a related provider, or data
related to a previous promotion promoted by a different promotion
service by the provider; and factor the prior performance data into
the provider quality score calculation.
94. The apparatus according to claim 89, wherein the at least one
memory and computer program code are configured to, with the at
least one processor, cause the apparatus to: capture positive press
review information related to a provider; determine if the positive
press review information is from an acceptable source; and factor
the positive press review information into the provider quality
score calculation.
95. The apparatus according to claim 89, wherein the at least one
memory and computer program code are configured to, with the at
least one processor, cause the apparatus to: capture, via the web
data capturing algorithm, from the one or more third-party
websites, a press review, the press review comprising text data;
and determine, upon capture of the press review, that the text data
comprises predefined text data.
96. A method for identifying one or more supply sources as able to
supply at least a portion of a residual demand in a particular
geographic region for a particular good or service, the one or more
supply sources not currently engaged in offering any portion of the
total demand, by calculating a provider quality score for each of
the one or more supply sources, the provider quality score being a
predictive value that is indicative of how well a potential supply
source tasked with supplying a good or service determined to be in
demand would perform during a promotion offered by a promotion and
marketing service and how well consumers would react to the
promotion, the computer program product comprising at least one
computer-readable storage medium having computer-executable program
code instructions stored therein, the computer-executable program
code instructions comprising program code instructions for:
receiving information indicative of the residual demand for the
particular good or service; identifying the one or more supply
sources that are able to supply at least a portion of the residual
demand for the particular good or service in the particular
geographic region; for each of the one or more supply sources:
capturing, via a web data capturing algorithm, from one or more
third-party websites, one or more metrics relating to a provider,
wherein the one or more metrics are indicative of a third party
evaluation of at least one of a product, service or experience
provided by the provider, a performance of a provider, or the
provider itself; capturing, via the web data capturing algorithm,
from the one or more third-party websites, a number indicative of a
quantity of the one or more captured metrics; and calculating, via
one or more processors, a provider quality score based on the one
or more metrics and the number indicative of the quantity of the
one or more captured metrics, wherein the provider score provides
an indication of future provider performance and future third party
reaction to the provider; generating a ranking of the one or more
supply sources that meet a predetermined threshold; and utilizing
the portion of the particular good or service that each of the one
or more supply sources is able to provide, generating a list
comprised of those supply sources that are able to provide at least
some portion of the residual demand, wherein the list is ordered in
accordance with the ranking of the of the one or more supply
sources that meet the predetermined threshold.
97. The computer program product according to claim 96, wherein the
calculation of the provider quality score comprises: aggregating
one or both of (i) one or more of ranking-type review information,
like-type review information, star-type review information, and
(ii) category-specific type information, wherein aggregating of the
one or both of (i) one or more of ranking-type review information,
like-type review information, star-type review information, and
(ii) category-specific type information comprises: converting any
of the one or more of ranking-type review information, like-type
review information, and star-type review information into provider
quality score type information by assigning providers with review
information indicative of a first range of values a first value,
and assigning those providers with review information of a second
range of values, the second range of values being higher or better
than the first range of values, a second value, the second value
being higher or better than the first value; converting
category-specific type information into provider quality score type
information by calculating a weighted average of the provider
quality score type information associated with any of a category,
sub-category, location, hyper-location, price of the product, or
service or experience the provider is expected to provide;
assigning one of a first subset of provider quality scores upon a
determination that an average value of the provider quality score
type information meets a first review threshold and a number
indicative of the quantity of the one more captured metrics meets a
first quantity threshold such that a merchant assigned one of the
first subset of provider quality scores comprise both the average
value of the provider quality score type information that meets the
first review threshold and the quantity of the one more captured
metrics that meets the first quantity threshold; assigning one of a
second subset of provider quality scores upon a determination that
the average value of the provider quality score type information
meets the first review threshold and the number indicative of the
quantity of the one more captured metrics fails to meet the first
quantity threshold such that a merchant assigned one of the second
subset of provider quality scores comprise both the average value
of the provider quality score type information that meets the first
review threshold and a quantity the one more captured metrics that
fails to meet the first quantity threshold; and assigning one of a
third subset of provider quality scores upon a determination that
the average value of the provider quality score type information
fails to meet the first review threshold and the number indicative
of the quantity of the one more captured metrics fails to meet the
first quantity threshold such that a merchant assigned one of the
third subset of provider quality scores comprise both an average
value of the provider quality score type information that fails to
meet the first review threshold and a quantity the one more
captured metrics that fails to meet the first quantity
threshold.
98. The computer program product according to claim 96 wherein the
computer-executable program code instructions further comprise
program code instructions for: detecting one or more web sources
related to provider information; and determining whether the one or
more web sources provide metrics related to the provider.
99. The computer program product according to claim 96 wherein the
computer-executable program code instructions further comprise
program code instructions for: detecting a provider web site;
rating a quality of the provider website; and factoring the quality
of the provider website into the provider quality score
calculation.
100. The computer program product according to claim 96 wherein the
computer-executable program code instructions further comprise
program code instructions for: accessing prior performance data,
wherein prior performance data comprises one or more of data
related to a previous provider promotion, data related to a
previous promotion promoted by a related provider, or data related
to a previous promotion promoted by a different promotion service
by the provider; and factoring the prior performance data into the
provider quality score calculation.
101. The computer program product according to claim 96 wherein the
computer-executable program code instructions further comprise
program code instructions for: capturing positive press review
information related to a provider; determining if the positive
press review information is from an acceptable source; and
factoring the positive press review information into the provider
quality score calculation.
102. The computer program product according to claim 96 wherein the
computer-executable program code instructions further comprise
program code instructions for: capturing, via the web data
capturing algorithm, from the one or more third-party websites, a
press review, the press review comprising text data; and
determining, upon capture of the press review, that the text data
comprises predefined text data.
Description
CROSS REFERENCES TO RELATED APPLICATIONS
[0001] This application claims priority to U.S. Provisional Patent
Application No. 61/730,046, titled "METHOD AND APPARATUS FOR
MATCHING SUBSCRIBER DEMAND WITH MERCHANT/INVENTORY SUPPLY" filed on
Nov. 26, 2012'', and U.S. Provisional Application No. 61/709,623,
titled "MERCHANT SIDE CROSS-CATEGORY DEAL DIVERSITY", filed Oct. 4,
2012, each of which is hereby incorporated by reference.
[0002] The present application is related to U.S. patent
application Ser. No. 13/803,445, filed Mar. 14, 2013, titled
"METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR SALES PIPELINE
AUTOMATION", U.S. patent application Ser. No. ______, filed Mar.
14, 2013, titled "METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT
FOR DEMAND FORECASTING", U.S. patent application Ser. No. ______,
filed Mar. 14, 2013, titled "METHOD, APPARATUS, AND COMPUTER
PROGRAM PRODUCT FOR IDENTIFICATION OF SUPPLY SOURCES", U.S. patent
application Ser. No. ______, filed Mar. 14, 2013, titled "METHOD,
APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR LEAD ASSIGNMENT", U.S.
patent application Ser. No. ______, filed Mar. 14, 2013, titled
"METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR CALCULATING A
PROVIDER QUALITY SCORE", U.S. patent application Ser. No. ______,
filed Mar. 14, 2013, titled "METHOD, APPARATUS, AND COMPUTER
PROGRAM PRODUCT FOR DETERMINING A PROVIDER RETURN RATE", U.S.
patent application Ser. No. ______, filed Mar. 14, 2013, titled
"METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR IDENTIFYING A
SERVICE NEED VIA A PROMOTIONAL SYSTEM", U.S. patent application
Ser. No. ______, filed Mar. 14, 2013, titled "METHOD, APPARATUS,
AND COMPUTER PROGRAM PRODUCT FOR DETERMINING CLOSING METRICS", and
U.S. patent application Ser. No. ______, filed Mar. 14, 2013,
titled "CAPACITY CALCULATOR", and U.S. patent application Ser. No.
______, filed Mar. 14, 2013, titled "MERCHANT SIDE CROSS-CATEGORY
DEAL DIVERSITY" each of which is hereby incorporated by
reference.
FIELD
[0003] Embodiments of the invention relate, generally, to
assigning, calculating, or determining a provider quality
score.
BACKGROUND
[0004] The internet has transformed the way people communicate.
Many websites exist for supplying both objective information of a
provider of a good, service or experience, but also for allowing
users to populate subjective information, such as reviews or likes.
With the amount of websites providing such information, Applicant
has discovered problems with current methods of using such
information to determine with which providers of goods, service,
and/or experiences, they should engage in a business relationship.
Through applied effort, ingenuity, and innovation, Applicant has
solved the identified problems by developing a solution that is
embodied by the present invention, which is described in detail
below.
BRIEF SUMMARY
[0005] In general, embodiments of the present invention provided
herein include systems, methods and computer readable media for
calculating a provider quality score.
[0006] In one embodiment of the present invention, a method is
provided including capturing one or more metrics relating to a
provider, wherein the one or more metrics are indicative of a third
parties evaluation of at least one of a product, service or
experience provided by the provider, a performance of a provider,
or the provider itself, capturing a number indicative of a quantity
of the one or more captured metrics, and calculating a provider
quality score based on the one or more metrics and the number
indicative of a quantity of the one or more captured metrics,
wherein the provider score provides an indication of future
provider performance and future third party reaction to the
provider.
[0007] In another embodiment, the metrics are review information,
and the method further may comprise calculating an average review
score based on the one or more metrics and the number indicative of
a quantity of metrics. In another embodiment, the method may
further comprise detecting one or more web sources related to
provider information, and determining whether the one or more web
sources provide metrics related to the provider. In another
embodiment, the method may further comprise detecting a provider
website, rating a quality of the provider website, and factoring
the quality of the provider website into the provider quality score
calculation. In another embodiment, the method may further comprise
accessing prior performance data, wherein prior performance data
comprises one or more of data related to a previous provider
promotion, data related to a previous promotion promoted by a
related provider, or data related to a previous promotion promoted
by a different promotion service by the provider, and factoring the
prior performance data into the provider quality score
calculation.
[0008] In another embodiment, the method may further comprise
capturing positive press review information related to a provider,
determining if the positive press review information is from an
acceptable source, and factoring the positive press review
information into the provider quality score calculation. In another
embodiment, the method may further comprise capturing a number of
"likes" related to a provider from one or more web sources, and
factoring in the number of "likes" into the provider quality score
application.
[0009] In another embodiment, the method may further comprise in an
instance in which the average review score is greater than a first
predetermined threshold, and the number of reviews is greater than
a second predetermined threshold, performing a first quality
analysis. In another embodiment, the method may further comprise in
an instance in which the average review score is less than the
first predetermined threshold, or the number of reviews is less
than the second predetermined threshold, performing a second
quality analysis.
[0010] In another embodiment, the first quality analysis comprises
in an instance in which the average review score is greater than a
third predetermined threshold and in an instance in which the
number of reviews is greater than a fourth predetermined threshold,
performing a third quality analysis. In another embodiment, the
third quality analysis comprises determining whether the provider
is associated with a positive press review, in an instance in which
the provider is associated with a positive press review, assigning
a first provider quality score.
[0011] In another embodiment, the third quality analysis comprises
determining whether the provider is associated with a positive
press review, in an instance in which the provider is not
associated with a positive press review, assigning a second
provider quality score. In another embodiment, the first quality
analysis comprises in an instance in which the average review score
is less than a third predetermined threshold or in an instance in
which the number of reviews is less than a fourth predetermined
threshold, performing a fourth quality analysis.
[0012] In another embodiment, the fourth quality analysis comprises
in an instance in which the average review score is at least than a
fifth predetermined threshold and in an instance in which the
number of reviews is at least a sixth predetermined threshold,
assigning a third provider quality score. In another embodiment, in
an instance in which the average review score is less than the
fifth predetermined threshold or in an instance in which the number
of reviews is less than a sixth predetermined threshold, the method
may further comprise determining a number of "likes". In another
embodiment, the method may further in an instance in which the
average review score is at least the fifth predetermined threshold
and in an instance in which the number of "likes" is at least a
seventh predetermined threshold, assigning a fourth provider
quality score.
[0013] In another embodiment, the method may further comprise in an
instance in which the average review score is less than the fifth
predetermined threshold or in an instance in which the number of
"likes" is less than the seventh predetermined threshold, assigning
a fifth provider quality score. In another embodiment, the second
quality analysis comprises in an instance in which the average
review score is less than an eighth predetermined threshold or in
an instance in which the number of reviews is less than a tenth
predetermined threshold, assigning a tenth provider quality score.
In another embodiment, the method may further comprise in an
instance in which the average review score is greater than an
eighth predetermined threshold and in an instance in which the
number of reviews is greater than a tenth predetermined
threshold,
[0014] performing a fifth quality analysis. In another embodiment,
the fifth quality analysis comprises
[0015] in an instance in which the average review score is less
than a ninth predetermined threshold,
[0016] assigning an ninth provider quality score. In another
embodiment, the fifth quality analysis comprises in an instance in
which the average review score is greater than a ninth
predetermined threshold, performing a sixth quality analysis. In
another embodiment, the sixth quality analysis comprises capturing
a number of "likes" from one or more web sources, and determining
whether the provider is associated with a positive press review
from one or more web sources.
[0017] In another embodiment, the method may further comprise in an
instance in which the provider is not associated with a positive
press review or in an instance in which the number of likes is less
than an eleventh predetermined threshold, assigning an eighth
provider quality score. In another embodiment, the method may
further comprise in an instance in which the provider is associated
with a positive press review, and in an instance in which the
number of likes is greater than an eleventh predetermined
threshold, performing a seventh quality analysis. In another
embodiment, the seventh quality analysis comprises in an instance
in which the average review score is greater than a twelfth
predetermined threshold and in an instance in which the number of
"likes" is greater than a thirteenth predetermined threshold,
assigning a sixth provider quality score.
[0018] In another embodiment, the seventh quality analysis
comprises in an instance in which the average review score is less
than a twelfth predetermined threshold or in an instance in which
the number of "likes" is less than a thirteenth predetermined
threshold, assigning a seventh provider quality score. In another
embodiment, the method may further comprise determining whether a
provider is associated with an online presence, and in an instance
where the provider is not associated with an online presence,
assigning a minimum provider quality score.
[0019] In another embodiment of the present invention, an apparatus
is provided. The apparatus may comprise at least one processor and
at least one memory including computer program code, the at least
one memory and the computer program code configured to, with the at
least one processor, cause the apparatus at least to capture one or
more metrics relating to a provider, wherein the one or more
metrics are indicative of a third parties evaluation of at least
one of a product, service or experience provided by the provider, a
performance of a provider, or the provider itself, capture a number
indicative of a quantity of the one or more captured metrics, and
calculate a provider quality score based on the one or more metrics
and the number indicative of a quantity of the one or more captured
metrics, wherein the provider score provides an indication of
future provider performance and future third party reaction to the
provider.
[0020] In another embodiment, the metrics are review information,
wherein the at least one memory and computer program code are
configured to, with the at least one processor, cause the apparatus
to calculate an average review score based on the one or more
metrics and the number indicative of a quantity of metrics. In
another embodiment, the at least one memory and computer program
code are configured to, with the at least one processor, cause the
apparatus to detect one or more web sources related to provider
information, and determine whether the one or more web sources
provide metrics related to the provider.
[0021] In another embodiment, the at least one memory and computer
program code are configured to, with the at least one processor,
cause the apparatus to detect a provider website, rate a quality of
the provider website, and factor the quality of the provider
website into the provider quality score calculation. In another
embodiment, the at least one memory and computer program code are
configured to, with the at least one processor, cause the apparatus
to access prior performance data, wherein prior performance data
comprises one or more of data related to a previous provider
promotion, data related to a previous promotion promoted by a
related provider, or data related to a previous promotion promoted
by a different promotion service by the provider, and factor the
prior performance data into the provider quality score
calculation.
[0022] In another embodiment the at least one memory and computer
program code are configured to, with the at least one processor,
cause the apparatus to capture positive press review information
related to a provider, determine if the positive press review
information is from an acceptable source, and factor the positive
press review information into the provider quality score
calculation. In another embodiment, the at least one memory and
computer program code are configured to, with the at least one
processor, cause the apparatus to capture a number of "likes"
related to a provider from one or more web sources, and factor in
the number of "likes" into the provider quality score application.
In another embodiment, the at least one memory and computer program
code are configured to, with the at least one processor, cause the
apparatus to in an instance in which the average review score is
greater than a first predetermined threshold, and the number of
reviews is greater than a second predetermined threshold, perform a
first quality analysis.
[0023] In another embodiment, the at least one memory and computer
program code are configured to, with the at least one processor,
cause the apparatus to in an instance in which the average review
score is less than the first predetermined threshold, or the number
of reviews is less than the second predetermined threshold, perform
a second quality analysis. In another embodiment, the first quality
analysis comprises in an instance in which the average review score
is greater than a third predetermined threshold and in an instance
in which the number of reviews is greater than a fourth
predetermined threshold, performing a third quality analysis.
[0024] In another embodiment, the third quality analysis comprises
determining whether the provider is associated with a positive
press review, in an instance in which the provider is associated
with a positive press review, assigning a first provider quality
score. In another embodiment, the third quality analysis comprises
determining whether the provider is associated with a positive
press review, in an instance in which the provider is not
associated with a positive press review, assigning a second
provider quality score. In another embodiment, the first quality
analysis comprises in an instance in which the average review score
is less than a third predetermined threshold or in an instance in
which the number of reviews is less than a fourth predetermined
threshold, performing a fourth quality analysis. In another
embodiment, the fourth quality analysis comprises in an instance in
which the average review score is at least than a fifth
predetermined threshold and in an instance in which the number of
reviews is at least a sixth predetermined threshold, assigning a
third provider quality score.
[0025] In another embodiment, in an instance in which the average
review score is less than the fifth predetermined threshold or in
an instance in which the number of reviews is less than a sixth
predetermined threshold, the at least one memory and computer
program code are configured to, with the at least one processor,
cause the apparatus to determine a number of "likes". In another
embodiment, in an instance in which the average review score is at
least the fifth predetermined threshold and in an instance in which
the number of "likes" is at least a seventh predetermined
threshold, the at least one memory and computer program code are
configured to, with the at least one processor, cause the apparatus
to assign a fourth provider quality score. In another embodiment,
in an instance in which the average review score is less than the
fifth predetermined threshold or in an instance in which the number
of "likes" is less than the seventh predetermined threshold, the at
least one memory and computer program code are configured to, with
the at least one processor, cause the apparatus to assign a fifth
provider quality score.
[0026] In another embodiment, the second quality analysis comprises
in an instance in which the average review score is less than an
eighth predetermined threshold or in an instance in which the
number of reviews is less than a tenth predetermined threshold,
assigning a tenth provider quality score. In another embodiment, in
an instance in which the average review score is greater than an
eighth predetermined threshold and in an instance in which the
number of reviews is greater than a tenth predetermined threshold,
the at least one memory and computer program code are configured
to, with the at least one processor, cause the apparatus to perform
a fifth quality analysis. In another embodiment the fifth quality
analysis comprises in an instance in which the average review score
is less than a ninth predetermined threshold, assigning an ninth
provider quality score. In another embodiment, the fifth quality
analysis comprises in an instance in which the average review score
is greater than a ninth predetermined threshold, performing a sixth
quality analysis. In another embodiment the sixth quality analysis
comprises capturing a number of "likes" from one or more web
sources, and determining whether the provider is associated with a
positive press review from one or more web sources.
[0027] In another embodiment, in an instance in which the provider
is not associated with a positive press review or in an instance in
which the number of likes is less than an eleventh predetermined
threshold, the at least one memory and computer program code are
configured to, with the at least one processor, cause the apparatus
to assign an eighth provider quality score. In another embodiment,
in an instance in which the provider is associated with a positive
press review, and in an instance in which the number of likes is
greater than an eleventh predetermined threshold, wherein the at
least one memory and computer program code are configured to, with
the at least one processor, cause the apparatus to perform a
seventh quality analysis. In another embodiment, the seventh
quality analysis comprises in an instance in which the average
review score is greater than a twelfth predetermined threshold and
in an instance in which the number of "likes" is greater than a
thirteenth predetermined threshold, assigning a sixth provider
quality score. In another embodiment, the seventh quality analysis
comprises in an instance in which the average review score is less
than a twelfth predetermined threshold or in an instance in which
the number of "likes" is less than a thirteenth predetermined
threshold, assigning a seventh provider quality score. In another
embodiment, the at least one memory and computer program code are
configured to, with the at least one processor, cause the apparatus
to determine whether a provider is associated with an online
presence, and in an instance where the provider is not associated
with an online presence, assigning a minimum provider quality
score.
[0028] In another embodiment of the present invention, a computer
program product is provided. The computer program product may
comprise at least one computer-readable storage medium having
computer-executable program code instructions stored therein, the
computer-executable program code instructions comprising program
code instructions for capturing one or more metrics relating to a
provider, wherein the one or more metrics are indicative of a third
parties evaluation of at least one of a product, service or
experience provided by the provider, a performance of a provider,
or the provider itself, capturing a number indicative of a quantity
of the one or more captured metrics, and calculating a provider
quality score based on the one or more metrics and the number
indicative of a quantity of the one or more captured metrics,
wherein the provider score provides an indication of future
provider performance and future third party reaction to the
provider.
[0029] In another embodiment, the metrics are review information,
and the computer-executable program code portions further may
further comprise program code instructions for calculating an
average review score based on the one or more metrics and the
number indicative of a quantity of metrics. In another embodiment,
the computer-executable program code portions further comprise
program code instructions for detecting one or more web sources
related to provider information, and determining whether the one or
more web sources provide metrics related to the provider. In
another embodiment, the computer-executable program code portions
further comprise program code instructions for detecting a provider
website, rating a quality of the provider website, and factoring
the quality of the provider website into the provider quality score
calculation. In another embodiment, the computer-executable program
code portions further comprise program code instructions for
accessing prior performance data, wherein prior performance data
comprises one or more of data related to a previous provider
promotion, data related to a previous promotion promoted by a
related provider, or data related to a previous promotion promoted
by a different promotion service by the provider, and factoring the
prior performance data into the provider quality score
calculation.
[0030] In another embodiment, the computer-executable program code
portions further comprise program code instructions for capturing
positive press review information related to a provider,
[0031] determining if the positive press review information is from
an acceptable source, and factoring the positive press review
information into the provider quality score calculation. In another
embodiment, the computer-executable program code portions further
comprise program code instructions for capturing a number of
"likes" related to a provider from one or more web sources, and
factoring in the number of "likes" into the provider quality score
application.
[0032] In another embodiment, in an instance in which the average
review score is greater than a first predetermined threshold, and
the number of reviews is greater than a second predetermined
threshold, the computer-executable program code portions further
comprise program code instructions for performing a first quality
analysis. In another embodiment, in an instance in which the
average review score is less than the first predetermined
threshold, or the number of reviews is less than the second
predetermined threshold, the computer-executable program code
portions further comprise program code instructions for performing
a second quality analysis. In another embodiment the first quality
analysis comprises in an instance in which the average review score
is greater than a third predetermined threshold and in an instance
in which the number of reviews is greater than a fourth
predetermined threshold, performing a third quality analysis.
[0033] In another embodiment, the third quality analysis comprises
determining whether the provider is associated with a positive
press review, in an instance in which the provider is associated
with a positive press review, assigning a first provider quality
score. In another embodiment, the third quality analysis comprises
determining whether the provider is associated with a positive
press review, in an instance in which the provider is not
associated with a positive press review, assigning a second
provider quality score. In another embodiment, the first quality
analysis comprises in an instance in which the average review score
is less than a third predetermined threshold or in an instance in
which the number of reviews is less than a fourth predetermined
threshold, performing a fourth quality analysis. In another
embodiment,
[0034] the fourth quality analysis comprises in an instance in
which the average review score is at least than a fifth
predetermined threshold and in an instance in which the number of
reviews is at least a sixth predetermined threshold, assigning a
third provider quality score.
[0035] In another embodiment, in an instance in which the average
review score is less than the fifth predetermined threshold or in
an instance in which the number of reviews is less than a sixth
predetermined threshold, the computer-executable program code
portions further comprise program code instructions for determining
a number of "likes". In another embodiment, in an instance in which
the average review score is at least the fifth predetermined
threshold and in an instance in which the number of "likes" is at
least a seventh predetermined threshold, the computer-executable
program code portions further comprise program code instructions
for assigning a fourth provider quality score. In another
embodiment, in an instance in which the average review score is
less than the fifth predetermined threshold or in an instance in
which the number of "likes" is less than the seventh predetermined
threshold, the computer-executable program code portions further
comprise program code instructions for assigning a fifth provider
quality score.
[0036] In another embodiment, the second quality analysis comprises
in an instance in which the average review score is less than an
eighth predetermined threshold or in an instance in which the
number of reviews is less than a tenth predetermined threshold,
assigning a tenth provider quality score. In another embodiment, in
an instance in which the average review score is greater than an
eighth predetermined threshold and in an instance in which the
number of reviews is greater than a tenth predetermined threshold,
the computer-executable program code portions further comprise
program code instructions for performing a fifth quality
analysis.
[0037] In another embodiment, the fifth quality analysis comprises
in an instance in which the average review score is less than a
ninth predetermined threshold, assigning an ninth provider quality
score. In another embodiment, the fifth quality analysis comprises
in an instance in which the average review score is greater than a
ninth predetermined threshold, performing a sixth quality analysis.
In another embodiment the sixth quality analysis comprises
capturing a number of "likes" from one or more web sources, and
determining whether the provider is associated with a positive
press review from one or more web sources. In another embodiment,
in an instance in which the provider is not associated with a
positive press review or in an instance in which the number of
likes is less than an eleventh predetermined threshold, the
computer-executable program code portions further comprise program
code instructions for assigning an eighth provider quality
score.
[0038] In another embodiment in an instance in which the provider
is associated with a positive press review, and in an instance in
which the number of likes is greater than an eleventh predetermined
threshold, the computer-executable program code portions further
comprise program code instructions for performing a seventh quality
analysis. In another embodiment,
[0039] the seventh quality analysis comprises in an instance in
which the average review score is greater than a twelfth
predetermined threshold and in an instance in which the number of
"likes" is greater than a thirteenth predetermined threshold,
assigning a sixth provider quality score.
[0040] In another embodiment, the seventh quality analysis
comprises in an instance in which the average review score is less
than a twelfth predetermined threshold or in an instance in which
the number of "likes" is less than a thirteenth predetermined
threshold, assigning a seventh provider quality score. In another
embodiment, the computer-executable program code portions further
comprise program code instructions for determining whether a
provider is associated with an online presence, and in an instance
where the provider is not associated with an online presence,
assigning a minimum provider quality score.
BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWING(S)
[0041] Having thus described embodiments of the invention in
general terms, reference will now be made to the accompanying
drawings, which are not necessarily drawn to scale, and
wherein:
[0042] FIG. 1 is a flowchart showing an exemplary process for
calculating a provider quality score;
[0043] FIG. 2 is block diagram of a system that may be specifically
configured in accordance with an example embodiment of the present
invention;
[0044] FIG. 3 is a block diagram of an apparatus that may be
specifically configured in accordance with an example embodiment of
the present invention;
[0045] FIG. 4 shows a flow chart showing an exemplary process of
assigning, calculating, or determining a provider quality score in
accordance with some embodiments discussed herein;
[0046] FIG. 5 shows a flowchart showing an exemplary process for
calculating a provider quality score, in accordance with some
embodiments discussed herein;
[0047] FIG. 6 shows a flowchart showing an exemplary process for
calculating a provider quality score, in accordance with some
embodiments discussed herein;
[0048] FIG. 7 shows a flowchart showing an exemplary process for
calculating a provider quality score, in accordance with some
embodiments discussed herein; and
[0049] FIG. 8 is block diagram of a system that may be specifically
configured in accordance with an example embodiment of the present
invention.
DETAILED DESCRIPTION
[0050] Embodiments of the present invention now will be described
more fully hereinafter with reference to the accompanying drawings,
in which some, but not all embodiments of the inventions are shown.
Indeed, embodiments of the invention may be embodied in many
different forms and should not be construed as limited to the
embodiments set forth herein; rather, these embodiments are
provided so that this disclosure will satisfy applicable legal
requirements. Like numbers refer to like elements throughout.
[0051] As used herein, the terms "data," "content," "information"
and similar terms may be used interchangeably to refer to data
capable of being captured, transmitted, received, displayed and/or
stored in accordance with various example embodiments. Thus, use of
any such terms should not be taken to limit the spirit and scope of
the disclosure. Further, where a computing device is described
herein to receive data from another computing device, it will be
appreciated that the data may be received directly from the another
computing device or may be received indirectly via one or more
intermediary computing devices, such as, for example, one or more
servers, relays, routers, network access points, base stations,
and/or the like, sometimes referred to herein as a "network."
Similarly, where a computing device is described herein to send
data to another computing device, it will be appreciated that the
data may be sent directly to the another computing device or may be
sent indirectly via one or more intermediary computing devices,
such as, for example, one or more servers, relays, routers, network
access points, base stations, and/or the like.
[0052] Overview
[0053] The methods, apparatus and computer program products
described herein are operable to calculate a provider quality score
for a potential supply source. In one example, a provider quality
score indicates a predicative value that is indicative of how well
a provider would perform during a promotion offered by a promotion
and marketing service and how consumers would react to the
promotion.
[0054] In one example, a promotion and marketing system may
calculate a demand for a particular promotion and then identify
providers to fill the demand. In an instance in which one or more
providers are able to provide good, services and/or experiences
related to a particular promotion, and the promotion and marketing
system identifies them as such, each of one or more providers may
be scored and/or valued by one or more metrics. A provider quality
score is one metric.
[0055] The provider quality score may include factors such as
reviews from a plurality of internet sites (e.g., Yelp.RTM., etc.),
likes (e.g., Facebook.RTM. likes), existence and quality of
website, prior offer performance(s), competitor offers, prior
performance of related merchants, and/or Hotspots. For example, a
decision model may be used to generate a provider quality score. As
such, if a merchant has at least an average of 3.0 stars over five
reviews, then a merchant may receive a provider quality score of
between 6-10 depending on the overall star average, number of
reviews and social media like. In other examples, a provider
without 3.0 stars over five reviews may receive a high merchant
quality score (e.g., 8) if that provider has a large number of
likes, a positive review from a predetermined acceptable source
and/or the like.
[0056] A promotion and marketing service may include a service that
is accessible via one or more computing devices and is operable to
provide example promotion and/or marketing services on behalf of
one or more providers that are offering one or more instruments
that are redeemable for goods, services, experiences and/or the
like. The promotion and marketing service is further configured to
illustrate or otherwise inform one or more consumers of the
availability of one or more instruments in the form of one or more
impressions. In some examples, the promotion and marketing service
may also take the form of a redemption authority, a payment
processor, a rewards provider, an entity in a financial network, a
promoter, an agent and/or the like. As such, the service is, in
some example embodiments, configured to present one or more
promotions via one or more impressions, accept payments for
promotions from consumers, issue instruments upon acceptance of an
offer, participate in redemption, generate rewards, provide a point
of sale device or service, issue payments to providers and/or or
otherwise participate in the exchange of goods, services or
experiences for currency, value and/or the like.
[0057] A provider may include, but is not limited to, a merchant,
business owner, consigner, shopkeeper, tradesperson, vender,
operator, entrepreneur, agent, dealer, organization, supply source
or the like that is in the business of a providing a good, service
or experience to a consumer, facilitating the provision of a good,
service or experience to a consumer and/or otherwise operating in
the stream of commerce. For example, a provider may the form of a
running company that sells attire that is generally used by a
person who runs or participates in athletic activities.
[0058] A promotion may include, but is not limited to, any type of
offered, presented or otherwise indicated reward, discount, coupon,
credit, deal, incentive, discount, media or the like that is
indicative of a promotional value or the like that upon purchase or
acceptance results in the issuance of an instrument that may be
used toward at least a portion of the purchase of particular goods,
services and/or experiences defined by the promotion. An example
promotion, using the aforementioned running company as the example
provider, is $25 for $50 toward running shoes. In some examples,
the promotion defines an accepted value (e.g., a cost to purchase
the promotion), a promotional value (e.g., the value of the
resultant instrument beyond the accepted value), a residual value
(e.g., the value upon return or upon expiry of one or more
redemption parameters), one or more redemptions parameters and/or
the like. For example, and using the running company promotion as
an example, the accepted value is $25 and the promotional value is
$50. In this example, the residual value may be equal to the
accepted value.
[0059] Consumers may include, but is not limited to, a client,
customer, purchaser, shopper, user or the like who may be in the
position to or does exchange value for one or more instruments
under the terms defined by the one or promotions. For example, and
using the aforementioned running company as the example provider,
an individual who is interested in purchasing running shoes.
[0060] An instrument may include, but is not limited to, any type
of gift card, tender, electronic certificate, medium of exchange,
voucher, or the like that embodies the terms of the promotion from
which the instrument resulted and may be used toward at least a
portion of the purchase, acquisition, procurement, consumption or
the like of goods, services and/or experiences. In some examples,
the instrument may take the form of tender that has a given value
that is exchangeable for goods, services and/or experiences and/or
a reduction in a purchase price of a particular good, service or
experience. In some examples, the instrument may have multiple
values, such as accepted value, a promotional value and/or a
residual value. For example, using the aforementioned running
company as the example provider, an electronic indication in a
mobile application that shows $50 of value to spend at the running
company. In some examples, the accepted value of the instrument is
defined by the value exchanged for the instrument. In some
examples, the promotional value is defined by the promotion from
which the instrument resulted and is the value of the instrument
beyond the accepted value. In some examples, the residual value is
the value after redemption, the value after the expiry or other
violation of a redemption parameter, the return or exchange value
of the instrument and/or the like.
High Level Process
[0061] By way of further example, FIG. 1 is a block a diagram that
illustrates an exemplary process for calculating a provider quality
score. In general, the process 100 may capture web information
and/or access prior performance data. The process 100 may then
apply a provider quality score algorithm and assign, determine, or
otherwise calculate a provider quality score. In some example
embodiments the provider quality score is generated based on a
predicted value of how well (e.g., revenue, new business, etc.) a
provider will do on a promotion and the customer reaction (e.g.
based on historical data, similar results, demand etc.) to the
particular promotion.
[0062] As shown in block 12 of FIG. 1, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, for
capturing web information. For example, web information may include
information such as reviews from one or more of a plurality of
internet sites (e.g., Yelp.RTM., etc.), likes (e.g., Facebook.RTM.
likes), an existence and a quality of website. In one embodiment,
apparatus 20 may be configured to capture one or more metrics
relating to a provider, wherein the one or more metrics are
indicative of a third parties evaluation of at least one of a
product, service or experience provided by the provider, a
performance of a provider, or the provider itself. Additionally or
alternatively, apparatus 20 may be configured to capture a number
indicative of a quantity of the one or more captured metrics.
[0063] As shown in block 14 of FIG. 1, an apparatus, such as the
apparatus 30 or promotional system 810, may be configured for
accessing prior performance data. Prior performance data may
include one or more of prior promotion performance(s), competitor
promotions, prior performance of related providers, and/or
Hotspots.
[0064] As shown in block 16 of FIG. 1, an apparatus, such as the
apparatus 30 or promotional system 810, may be configured for
applying a provider quality score algorithm. A provider quality
score algorithm may utilize factors such as the web information
(e.g., reviews from a plurality of internet sites (e.g., Yelp.RTM.,
etc.), likes (e.g., Facebook.RTM. likes), existence and quality of
website, award, press releases or the like) and prior performance
data.
[0065] As shown in block 18 of FIG. 1, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, for
assigning, calculating or determining a provider quality score.
Assigning, calculating or determining a provider quality score is
further described with respect to FIGS. 5-7. In one embodiment,
apparatus 20 may be configured to calculate a provider quality
score based on one or more metrics and a number indicative of a
quantity of the one or more captured metrics, wherein the provider
score provides an indication of future provider performance and
future third party reaction to the provider.
[0066] For example, if a merchant has at least an average of 3.0
stars with over five reviews, then a merchant may receive a
provider quality score of between 6-10 depending on the overall
star average, number of reviews and social media likes. In other
examples, a provider without 3.0 stars or over five reviews may
receive a high provider quality score (e.g., 8) if that provider
has a large number of likes, a positive review from a predetermined
acceptable source and/or the like.
System and Apparatus
[0067] Referring now of FIG. 2, a system that supports
communication, either wirelessly or via a wireline, between a
computing device 22 and a server 24 or other network entity
(hereinafter generically referenced as a "server") is illustrated.
As shown, the computing device and the server may be in
communication via a network 28, such as a wide area network, such
as a cellular network or the Internet or a local area network.
However, the computing device and the server may be in
communication in other manners, such as via direct communications
between the computing device and the server.
[0068] The computing device 22 may be embodied by a number of
different devices including mobile computing devices, such as a
personal digital assistant (PDA), mobile telephone, smartphone,
laptop computer, tablet computer, or any combination of the
aforementioned, and other types of voice and text communications
systems. Alternatively, the computing device may be a fixed
computing device, such as a personal computer, a computer
workstation or the like. The server 24 may also be embodied by a
computing device and, in one embodiment, is embodied by a web
server. Additionally, while the system of FIG. 2 depicts a single
server, the server may be comprised of a plurality of servers which
may collaborate to support browsing activity conducted by the
computing device.
[0069] Regardless of the type of device that embodies the computing
device 22, the computing device may include or be associated with
an apparatus 30 as shown in FIG. 3. In this regard, the apparatus
may include or otherwise be in communication with a processor 32, a
memory device 34, a communication interface 36 and a user interface
38. As such, in some embodiments, although devices or elements are
shown as being in communication with each other, hereinafter such
devices or elements should be considered to be capable of being
embodied within the same device or element and thus, devices or
elements shown in communication should be understood to
alternatively be portions of the same device or element.
[0070] In some embodiments, the processor 32 (and/or co-processors
or any other processing circuitry assisting or otherwise associated
with the processor) may be in communication with the memory device
34 via a bus for passing information among components of the
apparatus. The memory device may include, for example, one or more
volatile and/or non-volatile memories. In other words, for example,
the memory device may be an electronic storage device (e.g., a
computer readable storage medium) comprising gates configured to
store data (e.g., bits) that may be retrievable by a machine (e.g.,
a computing device like the processor). The memory device may be
configured to store information, data, content, applications,
instructions, or the like for enabling the apparatus 30 to carry
out various functions in accordance with an example embodiment of
the present invention. For example, the memory device could be
configured to buffer input data for processing by the processor.
Additionally or alternatively, the memory device could be
configured to store instructions for execution by the
processor.
[0071] As noted above, the apparatus 30 may be embodied by a
computing device 22 configured to employ an example embodiment of
the present invention. However, in some embodiments, the apparatus
may be embodied as a chip or chip set. In other words, the
apparatus may comprise one or more physical packages (e.g., chips)
including materials, components and/or wires on a structural
assembly (e.g., a baseboard). The structural assembly may provide
physical strength, conservation of size, and/or limitation of
electrical interaction for component circuitry included thereon.
The apparatus may therefore, in some cases, be configured to
implement an embodiment of the present invention on a single chip
or as a single "system on a chip." As such, in some cases, a chip
or chipset may constitute means for performing one or more
operations for providing the functionalities described herein.
[0072] The processor 32 may be embodied in a number of different
ways. For example, the processor may be embodied as one or more of
various hardware processing means such as a coprocessor, a
microprocessor, a controller, a digital signal processor (DSP), a
processing element with or without an accompanying DSP, or various
other processing circuitry including integrated circuits such as,
for example, an ASIC (application specific integrated circuit), an
FPGA (field programmable gate array), a microcontroller unit (MCU),
a hardware accelerator, a special-purpose computer chip, or the
like. As such, in some embodiments, the processor may include one
or more processing cores configured to perform independently. A
multi-core processor may enable multiprocessing within a single
physical package. Additionally or alternatively, the processor may
include one or more processors configured in tandem via the bus to
enable independent execution of instructions, pipelining and/or
multithreading.
[0073] In an example embodiment, the processor 32 may be configured
to execute instructions stored in the memory device 34 or otherwise
accessible to the processor. Alternatively or additionally, the
processor may be configured to execute hard coded functionality. As
such, whether configured by hardware or software methods, or by a
combination thereof, the processor may represent an entity (e.g.,
physically embodied in circuitry) capable of performing operations
according to an embodiment of the present invention while
configured accordingly. Thus, for example, when the processor is
embodied as an ASIC, FPGA or the like, the processor may be
specifically configured hardware for conducting the operations
described herein. Alternatively, as another example, when the
processor is embodied as an executor of software instructions, the
instructions may specifically configure the processor to perform
the algorithms and/or operations described herein when the
instructions are executed. However, in some cases, the processor
may be a processor of a specific device (e.g., a head mounted
display) configured to employ an embodiment of the present
invention by further configuration of the processor by instructions
for performing the algorithms and/or operations described herein.
The processor may include, among other things, a clock, an
arithmetic logic unit (ALU) and logic gates configured to support
operation of the processor. In one embodiment, the processor may
also include user interface circuitry configured to control at
least some functions of one or more elements of the user interface
28.
[0074] Meanwhile, the communication interface 36 may be any means
such as a device or circuitry embodied in either hardware or a
combination of hardware and software that is configured to receive
and/or transmit data between the computing device 22 and a server
24. In this regard, the communication interface 36 may include, for
example, an antenna (or multiple antennas) and supporting hardware
and/or software for enabling communications wirelessly.
Additionally or alternatively, the communication interface may
include the circuitry for interacting with the antenna(s) to cause
transmission of signals via the antenna(s) or to handle receipt of
signals received via the antenna(s). For example, the
communications interface may be configured to communicate
wirelessly with the head mounted displays, such as via Wi-Fi,
Bluetooth or other wireless communications techniques. In some
instances, the communication interface may alternatively or also
support wired communication. As such, for example, the
communication interface may include a communication modem and/or
other hardware/software for supporting communication via cable,
digital subscriber line (DSL), universal serial bus (USB) or other
mechanisms. For example, the communication interface may be
configured to communicate via wired communication with other
components of the computing device.
[0075] The user interface 38 may be in communication with the
processor 32, such as the user interface circuitry, to receive an
indication of a user input and/or to provide an audible, visual,
mechanical, or other output to a user. As such, the user interface
may include, for example, a keyboard, a mouse, a display, a touch
screen display, a microphone, a speaker, and/or other input/output
mechanisms. In some embodiments, a display may refer to display on
a screen, on a wall, on glasses (e.g., near-eye-display), in the
air, etc. The user interface may also be in communication with the
memory 34 and/or the communication interface 36, such as via a
bus.
[0076] FIGS. 4, 5, 6, and 7 illustrate example flowcharts of the
example operations performed by a method, apparatus and computer
program product in accordance with an embodiment of the present
invention. It will be understood that each block of the flowcharts,
and combinations of blocks in the flowcharts, may be implemented by
various means, such as hardware, firmware, processor, circuitry
and/or other device associated with execution of software including
one or more computer program instructions. For example, one or more
of the procedures described above may be embodied by computer
program instructions. In this regard, the computer program
instructions which embody the procedures described above may be
stored by a memory 34 of an apparatus employing an embodiment of
the present invention and executed by a processor 32 in the
apparatus. As will be appreciated, any such computer program
instructions may be loaded onto a computer or other programmable
apparatus (e.g., hardware) to produce a machine, such that the
resulting computer or other programmable apparatus provides for
implementation of the functions specified in the flowcharts'
block(s). These computer program instructions may also be stored in
a non-transitory computer-readable storage memory that may direct a
computer or other programmable apparatus to function in a
particular manner, such that the instructions stored in the
computer-readable storage memory produce an article of manufacture,
the execution of which implements the function specified in the
flowcharts' block(s). The computer program instructions may also be
loaded onto a computer or other programmable apparatus to cause a
series of operations to be performed on the computer or other
programmable apparatus to produce a computer-implemented process
such that the instructions which execute on the computer or other
programmable apparatus provide operations for implementing the
functions specified in the flowcharts' block(s). As such, the
operations of FIGS. 4, 5, 6, and 7, when executed, convert a
computer or processing circuitry into a particular machine
configured to perform an example embodiment of the present
invention. Accordingly, the operations of FIGS. 4, 5, 6, and 7
define an algorithm for configuring a computer or processing to
perform an example embodiment. In some cases, a general purpose
computer may be provided with an instance of the processor which
performs the algorithms of FIGS. 4, 5, 6, and 7 to transform the
general purpose computer into a particular machine configured to
perform an example embodiment.
[0077] Accordingly, blocks of the flowcharts support combinations
of means for performing the specified functions and combinations of
operations for performing the specified functions. It will also be
understood that one or more blocks of the flowcharts, and
combinations of blocks in the flowcharts, can be implemented by
special purpose hardware-based computer systems which perform the
specified functions, or combinations of special purpose hardware
and computer instructions.
[0078] In some embodiments, certain ones of the operations herein
may be modified or further amplified as described below. Moreover,
in some embodiments additional optional operations may also be
included. It should be appreciated that each of the modifications,
optional additions or amplifications below may be included with the
operations above either alone or in combination with any others
among the features described herein.
Process 400
[0079] FIG. 4 shows an example method, namely process 400, that may
be executed by one or more machines (some examples of which are
discussed in connection with FIGS. 2, 3, and/or 8) to assign,
calculate or determine a provider quality score to a provider, in
accordance with some embodiments discussed herein. In some example
embodiments the provider quality score is generated based on a
predicted value of how well (e.g., revenue, new business, etc.) a
provider will do on a promotion and the customer reaction (e.g.,
based on historical data, similar results, demand etc.) to the
particular promotion.
[0080] As shown in block 402 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for detecting an online presence of a
provider. An online presence may be information indicating that the
provider is in business. An online presence may be a provider
website, provider information offered or displayed on a third party
website, provider reviews provided on a review type website (e.g.,
"www.yelp.com" or "www.zagat.com"), or the like.
[0081] As shown in block 404 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for capturing a number of reviews of the
provider on each of one or more detected instances. For example a
provider may have 1,000 reviews on Yelp.RTM. and 500 reviews on a
different website, such as Zagat.RTM..
[0082] As shown in block 406 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for calculating an average review score
of the review determined with respect to block 404. In some example
embodiments, the average review score can be determined for each
website that provides reviews, it can be determined globally across
all websites having at least one unique review and/or the like.
[0083] As shown in block 408 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for detecting a provider website. In
some example embodiments, the provider website may be provided by
the provider, be indicated in a provider database, be determined
based on a reference in a third party website, be discovered via a
search engine or the like.
[0084] As shown in block 410 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for rating a provider website.
[0085] As shown in block 412 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for accessing prior performance data. In
one embodiment, prior performance data may include data indicating
one or more previous promotions and related performance of those
promotions. For example, prior performance data may indicate 300
units of a promotion lasting for 60 days were sold in by a provider
offering a "beauty, wellness, and healthcare" category, "salon
tanning" sub-category or the like.
[0086] As shown in block 414 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for capturing prior performance data
from related providers. Prior performance from related providers
may also indicate past performance of promotions that were offered
by related providers. For example, if a provider may offer a
promotion in a specific category, sub-category, location,
hyper-location or the like, block 414 may be configured to capture
information related to the performance of other promotions offer by
other providers in the same or similar categories, sub-categories,
locations, hyper-locations, price ranges and the like.
[0087] As shown in block 416 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for capturing competitor promotion
information. In one embodiment, a web data capturing algorithm or
machine may be used to capture information related to promotions
offered on other promotion and marketing services. The prior
performance data from competitor promotion information may indicate
a category, sub-category, location, hyper-location, price range or
the like as well as units sold.
[0088] As shown in block 418 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for detecting a number of and/or
capturing "likes" from a web source. For example, detecting that
the provider has a specific number (e.g., 100) "likes" on
Facebook.RTM. and/or capturing that information.
[0089] As shown in block 420 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for capturing positive press reviews
from acceptable sources. In one embodiment, the apparatus may be
configured to detect reviews and determine if the source is an
acceptable source. Blocks 636 and 638 further expand and provide
examples related to detecting press reviews and determining whether
the press reviews are from acceptable sources.
[0090] As shown in block 422 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for applying a scoring algorithm. FIGS.
5, 6, and 7 show examples of scoring algorithms.
[0091] As shown in block 424 of FIG. 4, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning, calculating and/or
determining a provider quality score.
Process 500
[0092] FIG. 5 shows an example method, namely process 500, that may
be executed by one or more machines (some examples of which are
discussed in connection with FIGS. 2, 3, and/or 8) to assign one of
ten provider quality scores, in accordance with some embodiments
discussed herein.
[0093] As shown in block 502 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if an average review
score is greater than or equal to at least a first threshold.
[0094] If the determination at block 502 yields a yes, process 500
proceeds to block 504. If the determination at block 502 yields a
no, the process proceeds to block 528, which will be discussed
later.
[0095] As shown in block 504 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a number of reviews
is greater than or equal to at least a second threshold.
[0096] If the determination at block 504 yields a yes, process 500
proceeds to block 506. If the determination at block 504 yields a
no, the process proceeds to block 528, which will be discussed
later.
[0097] As shown in block 506 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if an average review
score is greater than or equal to at least a third threshold.
[0098] If the determination at block 506 yields a yes, process 500
proceeds to block 508. If the determination at block 506 yields a
no, the process proceeds to block 516, which will be discussed
later.
[0099] As shown in block 508 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a number of reviews
is greater than or equal to at least a fourth threshold.
[0100] If the determination at block 508 yields a yes, process 500
proceeds to block 510. If the determination at block 508 yields a
no, the process proceeds to block 516, which will be discussed
later.
[0101] As shown in block 510 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining whether a provider is
the subject of a positive press review from an acceptable
source.
[0102] If the determination at block 510 yields a yes, process 500
proceeds to block 512. If the determination at block 510 yields a
no, the process proceeds to block 514, which will be discussed
later.
[0103] As shown in block 512 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning a first provider quality
score.
[0104] As shown in block 514 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning a second provider quality
score.
[0105] As shown in block 516 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if an average review
score is greater than or equal to at least a fifth threshold.
[0106] If the determination at block 516 yields a yes, process 500
proceeds to block 518. If the determination at block 516 yields a
no, the process proceeds to block 526, which will be discussed
later.
[0107] As shown in block 518 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a number of reviews
is greater than or equal to at least a sixth threshold.
[0108] If the determination at block 518 yields a yes, process 500
proceeds to block 520. If the determination at block 518 yields a
no, the process proceeds to block 522, which will be discussed
later.
[0109] As shown in block 520 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning a third provider quality
score.
[0110] As shown in block 522 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a number of "likes"
is greater than or equal to at least a seventh threshold.
[0111] If the determination at block 522 yields a yes, process 500
proceeds to block 524. If the determination at block 522 yields a
no, the process proceeds to block 526, which will be discussed
later.
[0112] As shown in block 524 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning a fourth provider quality
score.
[0113] As shown in block 526 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning a fifth provider quality
score.
[0114] As shown in block 528 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a number of reviews
is greater than or equal to at least a tenth threshold and if the
average review score is less than an eighth threshold.
[0115] If the determination at block 528 yields a yes, process 500
proceeds to block 530. If the determination at block 528 yields a
no, the process proceeds to block 532, which will be discussed
later.
[0116] As shown in block 530 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning a tenth provider quality
score.
[0117] As shown in block 532 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if the average review
score is less than a ninth threshold.
[0118] If the determination at block 532 yields a yes, process 500
proceeds to block 534. If the determination at block 532 yields a
no, the process proceeds to block 536, which will be discussed
later.
[0119] As shown in block 534 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning a ninth provider quality
score.
[0120] As shown in block 536 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a number of "likes"
is greater than or equal to at least an eleventh threshold and for
determining whether a provider is the subject of a positive press
review from an acceptable source.
[0121] If the determination at block 536 yields a no, process 500
proceeds to block 538. If the determination at block 536 yields a
yes, the process proceeds to block 540, which will be discussed
later.
[0122] As shown in block 538 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning an eighth provider quality
score.
[0123] As shown in block 540 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if the average review
score is greater than or equal to at least a twelfth threshold.
[0124] If the determination at block 540 yields a no, process 500
proceeds to block 542. If the determination at block 540 yields a
yes, the process proceeds to block 544, which will be discussed
later.
[0125] As shown in block 542 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning a seventh provider quality
score.
[0126] As shown in block 544 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a number of "likes"
is greater than or equal to at least a seventh threshold.
[0127] If the determination at block 544 yields a yes, process 500
proceeds to block 526 where a fifth provider quality score may be
assigned. If the determination at block 544 yields a no, the
process proceeds to block 546.
[0128] As shown in block 546 of FIG. 5, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning a sixth provider quality
score.
[0129] Process 600
[0130] FIG. 6 shows an example method, namely process 600, that may
be executed by one or more machines (some examples of which are
discussed in connection with FIGS. 2, 3, and/or 8) to assign
provider quality scores, in accordance with some embodiments
discussed herein.
[0131] As shown in block 602 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for detecting an online presence of a
provider. An online presence may be information indicating that the
provider is in business. An online presence may be a provider
website, provider information offered or displayed on a third party
website, provider reviews provided on a review type website (e.g.,
"www.yelp.com" or "www.zagat.com"), or the like.
[0132] If the determination at block 602 yields a no, process 600
proceeds to block 604. If the determination at block 602 yields a
yes, process 600 proceeds to block 606.
[0133] As shown in block 604 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning one of a first subset of
provider quality scores to the provider.
[0134] As shown in block 606 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for capturing review information.
[0135] Review information may be provided by one or more review
type websites, web or network sources, or databases, internal or
external. In one embodiment, a website may provide a star rating
(e.g., 1 star, 2 stars . . . 5 stars) and a number of reviews
factored into calculating the star rating (e.g., 130 reviews). In
another embodiment, a website may provide a plurality of different
categories that have been reviewed. For example, a website may
provide separate reviews for a product, a service, a cost, a value,
decor, or the like, where a provider may be reviewed on each of one
or more of the categories. For example, a pizza restaurant may be
reviewed based on "food", "service", and "decor".
[0136] In another embodiment, the review information that may be
captured may be ranked. For example, a review website may provide
reviews as rankings. For example, when looking at "pizza
restaurants" in a locations, the pizza restaurants may be displayed
in a ranked format or provided with an associated ranking.
Additionally, each of a plurality of categories may be ranked. For
example, a pizza restaurant may have review information indicating
the 23.sup.rd best food, 8.sup.th best service, and 15.sup.th best
decor.
[0137] In another embodiment, review information may be provided by
a review website in a format indicating a percentage of reviewers
who "liked it." For example, a pizza restaurant may have review
information indicating that "81% liked it."
[0138] As shown in block 608 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for calculating a review score.
[0139] In an instance in which a start rating and a number of
reviews is provided, a review score may be determined by using the
star rating. In an instance where more than one source of review
information is captured and utilized for calculating an aggregated
review score, the star rating and the number of reviews may be
factored into the aggregated review score.
[0140] In an instance in which captured review information is in a
format divided into a plurality of categories, the review score may
use any one category, an average of any two or more categories, or
a weighted average of any two or more categories. A determination
on which to use may be dependent on a category, sub-category,
location, hyper-location, or price of a promotion and/or service
that the provider is expected to provide. For example, sub-category
"burger restaurants" may utilize review information from one
reviewed category (e.g., "food"), "Italian restaurants" may utilize
an average of two reviewed categories (e.g., "food" and "service"),
and "Asian restaurants" may utilize a weighted average of three
reviewed categories (e.g., 40% "decor", 40% "food", and 20%
"service").
[0141] In an instance where review information is in a format
indicating a percentage of reviewers that "liked it", the review
score may be calculated or determined based on "buckets". For
example, a review score of 1.0 may be calculated for providers with
review information indicating that 0%-20% "liked it, a 2.0 for
21%-40%, 3.0 for 41%-60, a 4.0 for 61%-80% and a 5.0 for 81%-100%.
The "buckets" may be smaller and the review scores divided into 0.5
s, such as for example, a 0.5 for 0%-10%, a 1.5 for 30%-40%, 2.5
for 50%-60%, a 3.5 for 70%-80% and a 4.5 for 90%-100%.
[0142] As shown in block 610 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a review score is
greater than or equal to at least a predetermined threshold, e.g.,
3.0 and if a number of reviews is greater than or equal to at least
a second predetermined threshold, e.g., 5 reviews.
[0143] If the determination at block 610 yields a no, process 600
proceeds to block 630, which will be discussed later. If the
determination at block 610 yields a yes, process 600 proceeds to
block 612.
[0144] As shown in block 612 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a review score is
greater than or equal to at least a third predetermined threshold,
e.g., 4.5 and if a number of reviews is greater than or equal to at
least a fourth predetermined threshold, e.g., 50 reviews. In one
embodiment, the third predetermined threshold is any number greater
than the first predetermined threshold. Additionally or
alternatively, the fourth predetermined threshold is any number
greater than the second predetermined threshold.
[0145] If the determination at block 612 yields a no, process 600
proceeds to block 622, which will be discussed later. If the
determination at block 610 yields a yes, process 600 proceeds to
block 614.
[0146] As shown in block 614 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for detecting a positive press review
and/or capturing a positive press review from a web source. For
example, the New York Times.RTM. may print, either online or
hardcopy, an article related to a provider. In one embodiment, the
apparatus may detect any press review and determine if the press
review is positive based on a rating given (e.g., "4 stars" or
"thumbs up") in the press review, keywords or phrases (e.g.,
"delicious", "outstanding", "excellent" or the like) or a mere
inclusion (e.g., "Top ten brunch spots in the city", "Best of
2013", "Featured Selection of the Month" or the like).
[0147] If a positive press review is found or determined to exist
at block 614, process 600 proceeds to block 616. If a positive
press review is not found or determined not to exist at block 614,
process 600 proceeds to block 620, which will be discussed
later.
[0148] As shown in block 616 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if the positive press
review represents an acceptable source of information. In one
embodiment, acceptable sources of information may be stored in
advance, and block 616 may compare the source of the positive press
review to the stored acceptable sources. In another embodiment, the
source of the positive press review may be scored. Scoring of a
source of a positive press review may involve subjecting the source
to one or more provider quality scoring algorithms.
[0149] As shown in block 618 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning one of a fifth subset of
provider quality scores to the provider.
[0150] As shown in block 620 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning one of a fourth subset of
provider quality scores to the provider.
[0151] As shown in block 622 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a review score is
greater than or equal to at least a fifth predetermined threshold,
e.g., 4.0 and if a number of reviews is greater than or equal to at
least a sixth predetermined threshold, e.g., 20 reviews. In one
embodiment, the fifth predetermined threshold is any number greater
than the first predetermined threshold and/or less than the third
predetermined threshold. Additionally or alternatively, the sixth
predetermined threshold is any number greater than the second
predetermined threshold and/or less than the fourth predetermined
threshold.
[0152] If the determination at block 622 yields a yes, process 600
proceeds to block 620, where a provider is assigned one of a fourth
subset of provider quality scores. If the determination at block
622 yields a no, process 600 proceeds to block 624.
[0153] As shown in block 624 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for detecting a number of and/or
capturing "likes" from a web source. For example, detecting that
the provider has a specific number (e.g., 100) "likes" on
Facebook.RTM. and/or capturing that information.
[0154] As shown in block 626 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a review score is
greater than or equal to at least a fifth predetermined threshold,
e.g., 4.0 and if a number of "likes" is greater than or equal to at
least an eighth predetermined threshold, e.g., 5,000 likes. In one
embodiment, the fifth predetermined threshold is any number greater
than the first predetermined threshold and/or less than the third
predetermined threshold.
[0155] Additionally or alternatively, block 624 may capture a
percentage of likes (e.g., information such as "85% of people liked
provider Y") and block 626 may determine if that percentage is
greater than or equal to at least a predetermined percentage.
[0156] If the determination at block 626 yields a yes, process 600
proceeds to block 620, where a provider is assigned one of a fourth
subset of provider quality scores. If the determination at block
622 yields a no, process 600 proceeds to block 628.
[0157] As shown in block 628 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning one of a third subset of
provider quality scores to the provider.
[0158] As shown in block 630 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a review score is
greater than or equal to at least a ninth predetermined threshold,
e.g., 2.5 and if a number of reviews is greater than or equal to at
least a predetermined threshold such as, for example, the first
predetermined threshold, e.g., 5 reviews. In one embodiment, the
ninth predetermined threshold is any number less than the first
predetermined threshold.
[0159] If the determination at block 630 yields a no indicating for
example a low review score and a sufficient number of reviews,
process 600 proceeds to block 604, where a provider is assigned one
of a first subset of provider quality scores. If the determination
at block 630 yields a yes, process 600 proceeds to block 632.
[0160] As shown in block 632 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a review score is
greater than or equal to at least a tenth predetermined threshold,
e.g., 3.0.
[0161] If the determination at block 632 yields a no indicating for
example a low review score and a sufficient number of reviews,
process 600 proceeds to block 642, which is discussed later. If the
determination at block 632 yields a yes, process 600 proceeds to
block 634.
[0162] As shown in block 634 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for detecting a number of and/or
capturing "likes" from a web source. For example, detecting that
the provider has a specific number (e.g., 100) "likes" on
Facebook.RTM. and/or capturing that information.
[0163] As shown in block 636 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for detecting a positive press review
and/or capturing a positive press review from a web source. For
example, the New York Times.RTM. may print, either online or
hardcopy, an article related to a provider. In one embodiment, the
apparatus may detect any press review and determine if the press
review is positive based on a rating given (e.g., "4 stars" or
"thumbs up") in the press review, keywords or phrases (e.g.,
"delicious", "outstanding", "excellent" or the like) or a mere
inclusion (e.g., "Top ten brunch spots in the city", "Best of
2013", "Featured Selection of the Month" or the like).
[0164] As shown in block 638 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if the positive press
review represents an acceptable source of information. In one
embodiment, acceptable sources of information may be stored in
advance, and block 616 may compare the source of the positive press
review to the stored acceptable sources. In another embodiment, the
source of the positive press review may be scored. Scoring of a
source of a positive press review may involve subjecting the source
to one or more provider quality scoring algorithms.
[0165] As shown in block 640 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a number of "likes"
is greater than or equal to at least a predetermined threshold such
as, for example, the eighth predetermined threshold, e.g., 5,000
likes. In one embodiment, the predetermined threshold could be any
predetermined number of likes.
[0166] If the determination at block 640 yields a no, process 600
proceeds to block 642, which is discussed below. If the
determination at block 640 yields a yes, process 600 proceeds to
block 626 discussed above.
[0167] As shown in block 642 of FIG. 6, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for assigning one of a second subset of
provider quality scores to the provider.
Supply Source Quality Score Calculation Example
[0168] FIG. 7 shows an example method, namely process 700, that may
be executed by one or more machines (some examples of which are
discussed in connection with FIGS. 2, 3, and/or 8) to assign,
calculate, or determine a provider quality score, in accordance
with some embodiments discussed herein.
[0169] As shown in block 702 of FIG. 7, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a provider has an
overall star average greater than or equal to at least a 3.0 with
greater than or equal to at least 5 total reviews.
[0170] If the determination at block 702 yields a yes, the process
700 proceeds to block 704. As shown in block 704 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, for determining
if a provider has an overall star average greater than or equal to
at least a 4.5 with greater than or equal to at least 500 total
number reviews.
[0171] If the determination at block 704 yields a yes, the process
700 proceeds to block 706. As shown in block 706 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, for determining
if a provider has a positive press review or award from an accepted
source.
[0172] If the determination at block 706 yields a yes, the process
700 proceeds to block 708. As shown in block 708 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, for assigning a
provider a score of 10.
[0173] If the determination at block 704 yields a no, the process
700 proceeds to block 710. As shown in block 710 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, for determining
if a provider has an overall star average greater than or equal to
at least a 4.0 with greater than or equal to at least 20 total
reviews.
[0174] If the determination at block 710 yields a yes, the process
700 proceeds to block 712. As shown in block 712 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, for assigning a
provider a score of 8.
[0175] If the determination at block 710 yields a no, the process
700 proceeds to block 714. As shown in block 714 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, for determining
if a provider has an overall star average of greater than or equal
to at least a 4.0 with greater than or equal to at least 5,000
"likes", such as for example, Facebook.RTM. "likes".
[0176] If the determination at block 714 yields a yes, the process
700 proceeds to block 712, where the provider is assigned a score
of 8. If the determination at block 714 yields a no, the process
700 proceeds to block 716. As shown in block 716 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, for assigning a
provider a score of 6.
[0177] If the determination at block 702 yields a no, the process
700 proceeds to block 718. As shown in block 718 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, determining if a
provider has an overall star rating of less than or equal to at
least a 2.49 with greater than or equal to at least 5 total
reviews.
[0178] If the determination at block 718 yields a yes, the process
700 proceeds to block 720. As shown in block 720 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, for assigning a
provider a score of 1.
[0179] If the determination at block 718 yields a no, the process
700 proceeds to block 722. As shown in block 722 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, for determining
if a provider has an overall star average of greater than or equal
to at least a 3.0.
[0180] If the determination at block 722 yields a no, the process
700 proceeds to block 724. As shown in block 724 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, for assigning a
provider a score of 4.
[0181] If the determination at block 722 yields a yes, the process
700 proceeds to block 726. As shown in block 726 of FIG. 7, an
apparatus, such as the apparatus 30 or promotional system 810, may
include means, such as detection module 814, capturing module 816,
calculating module 818, processor 32, or the like, for determining
if a provider has an a positive press review or award from an
acceptable source and has greater than or equal to at least 5,000
"likes", such as for example, Facebook.RTM. "likes".
[0182] If the determination at block 726 yields a no, the process
700 proceeds to block 724 where the provider is assigned a score of
4. If the determination at block 726 yields a yes, the process 700
proceeds to block 714.
[0183] As shown in block 728 of FIG. 7, an apparatus, such as the
apparatus 30 or promotional system 810, may include means, such as
detection module 814, capturing module 816, calculating module 818,
processor 32, or the like, for determining if a provider is closed
or determining if a provider is closed is impossible. If block 728
determines that a provider is closed or cannot tell if the provider
is closed, the process 700 proceeds to block 720 where the provider
is assigned a score of 1.
Promotion and Marketing System
[0184] FIG. 8 illustrates an example network architecture for a
system in accordance with some embodiments discussed herein. System
800 may include one or more devices and sub-systems that are
configured to implement some of the example embodiments discussed
herein. For example, system 800 may include promotion system 810,
which may include, for example, a processor 32, memory 34, a
communications interface 36, and a user interface 38. Memory 34 may
include promotional computing device 312.
[0185] Promotion system 810 can be coupled to a search engine
system 834, a 3.sup.rd party server 832, via network 28. Promotion
system 810 may additionally be coupled to one or more consumer
devices and/or one or more provider devices via network 28
[0186] In this regard, network 28 may include any wired or wireless
communication network including, for example, a wired or wireless
local area network (LAN), personal area network (PAN), metropolitan
area network (MAN), wide area network (WAN), or the like, as well
as any hardware, software and/or firmware required to implement it
(such as, e.g., network routers, etc.). For example, network 28 may
include a cellular telephone, an 802.11, 802.16, 802.20, and/or
WiMax network. Further, the network 28 may include a public
network, such as the Internet, a private network, such as an
intranet, or combinations thereof, and may utilize a variety of
networking protocols now available or later developed including,
but not limited to TCP/IP based networking protocols. In one
embodiment, promotion system 810 can be coupled to any consumer
and/or provider devices directly via any wired or wireless
communication network including, for example, a wired or wireless
local area network (LAN), personal area network (PAN), metropolitan
area network (MAN), wide area network (WAN), or the like, as well
as any hardware, software and/or firmware required to implement
it.
[0187] Consumer devices and/or provider devices may each be
implemented as a personal computer and/or other networked device,
such as a cellular phone, a "smartphone", a tablet computer, mobile
device, etc., that may be used for any suitable purpose in addition
to buying or selling offers.
[0188] Memory 34 of promotion system 810 may include promotional
computing device 812, and/or other programs 820 and data
repositories 822. Promotional computing device 812 can be any
suitable network server and/or other type of processing device. The
programs 820 and data repositories 822 may be any suitable network
database configured to store offer parameter data, consumer account
information, merchant account information and/or analytics data,
such as that discussed herein. In this regard, promotion system 810
may include, for example, at least one backend data server, network
database, cloud computing device, among other things.
[0189] Regarding promotion system 810, FIG. 8 shows a schematic
block diagram of circuitry, some or all of which may be included.
As illustrated in FIG. 8, in accordance with some example
embodiments, the circuitry can includes various means, such as
processor 32, memory 34, communications interface 36, and/or user
interface 38. As referred to herein, "module" includes hardware,
software and/or firmware configured to perform one or more
particular functions. In this regard, the means of the merchant
device's circuitry as described herein may be embodied as, for
example, circuitry, hardware elements (e.g., a suitably programmed
processor, combinational logic circuit, and/or the like), a
computer program product comprising computer-readable program
instructions stored on a non-transitory computer-readable medium
(e.g., memory 34) that is executable by a suitably configured
processing device (e.g., processor 32), or some combination
thereof.
[0190] In addition, promotion system 810 may comprise one or more
distinct computing systems/devices and may span distributed
locations. In other example embodiments, a pre-processing module or
other module that requires heavy computational load may be
configured to perform that computational load and thus may be on a
remote device or server. Furthermore, each block shown may
represent one or more such blocks as appropriate to a specific
example embodiment. In some cases one or more of the blocks may be
combined with other blocks.
[0191] Processor 32 may, for example, be embodied as various means
including one or more microprocessors with accompanying digital
signal processor(s), one or more processor(s) without an
accompanying digital signal processor, one or more coprocessors,
one or more multi-core processors, one or more controllers,
processing circuitry, one or more computers, various other
processing elements including integrated circuits such as, for
example, an ASIC or FPGA, or some combination thereof. Accordingly,
although illustrated in FIG. 3 as a single processor, in some
embodiments, processor 32 comprises a plurality of processors. The
plurality of processors may be embodied on a single computing
device or may be distributed across a plurality of computing
devices collectively. The plurality of processors may be in
operative communication with each other and may be collectively
configured to perform one or more functionalities of promotion
system 810 as described herein. In an example embodiment, processor
32 is configured to execute instructions stored in memory 34 or
otherwise accessible to processor 32. These instructions, when
executed by processor 32, may cause promotion system 810 to perform
one or more of the functionalities as described herein.
[0192] Whether configured by hardware, firmware/software methods,
or by a combination thereof, processor 32 may comprise an entity
capable of performing operations according to embodiments of the
present invention while configured accordingly. Thus, for example,
when processor 32 is embodied as an ASIC, FPGA or the like,
processor 32 may comprise specifically configured hardware for
conducting one or more operations described herein. Alternatively,
as another example, when processor 32 is embodied as an executor of
instructions, such as may be stored in memory 34, the instructions
may specifically configure processor 32 to perform one or more
algorithms and operations described herein, such as those discussed
in connection with FIGS. 1, 4, 5, 6, and 7.
[0193] Memory 34 may comprise, for example, volatile memory,
non-volatile memory, or some combination thereof. Although
illustrated in FIG. 3 as a single memory, memory 34 may comprise a
plurality of memory components. The plurality of memory components
may be embodied on a single computing device or distributed across
a plurality of computing devices. In various embodiments, memory 34
may comprise, for example, a hard disk, random access memory, cache
memory, flash memory, a compact disc read only memory (CD-ROM),
digital versatile disc read only memory (DVD-ROM), an optical disc,
circuitry configured to store information, or some combination
thereof. Memory 34 may be configured to store information, data
(including offer parameter data, consumer data, inventory data
and/or analytics data), applications, instructions, or the like for
enabling promotion system 810 to carry out various functions in
accordance with example embodiments of the present invention. For
example, in at least some embodiments, memory 34 is configured to
buffer input data for processing by processor 32. Alternatively or
additionally, in at least some embodiments, memory 34 is configured
to store program instructions for execution by processor 32. Memory
34 may store information in the form of static and/or dynamic
information.
[0194] Communications interface 36 may be embodied as any device or
means embodied in circuitry, hardware, a computer program product
comprising computer readable program instructions stored on a
computer readable medium (e.g., memory 34) and executed by a
processing device (e.g., processor 32), or a combination thereof
that is configured to receive and/or transmit data from/to another
device, such as, for example, a consumer device, a provider device
and/or the like. In some embodiments, communications interface 36
(like other components discussed herein) can be at least partially
embodied as or otherwise controlled by processor 32. In this
regard, communications interface 36 may be in communication with
processor 32, such as via a bus. Communications interface 36 may
include, for example, an antenna, a transmitter, a receiver, a
transceiver, network interface card and/or supporting hardware
and/or firmware/software for enabling communications with another
computing device. Communications interface 36 may be configured to
receive and/or transmit any data that may be stored by memory 34
using any protocol that may be used for communications between
computing devices. Communications interface 36 may, alternatively
or additionally, be in communication with the memory 34, user
interface 38 and/or any other component of promotion system 810,
such as via a bus.
[0195] User interface 38 may be in communication with processor 302
to receive an indication of a user input and/or to provide an
audible, visual, mechanical, or other output to a user (e.g.,
merchant and/or consumer). As such, user interface 38 may include
support, for example, for a keyboard, a mouse, a joystick, a
display, a touch screen display, a microphone, a speaker, a RFID
reader, credit card reader, barcode reader, biometric scanner,
and/or other input/output mechanisms as represented by 308. User
interface 38 may be in communication with the memory 34,
communications interface 306, and/or any other component(s), such
as via a bus. Although more than one input/output module and/or
other component can be included in promotion system 810, only one
is shown in FIG. 8 to avoid overcomplicating the drawing (like the
other components discussed herein).
[0196] FIG. 8 also shows an example circuitry that may be included
in promotional computing device 812, which may be configured to
perform the detection, capturing, analysis, calculation, management
and/or other functionality discussed in connection with promotion
system 810. In this manner, from the merchant's perspective,
promotional computing device 812 may provide cloud computing
functionality and services to the provider. As illustrated in FIG.
8 and in accordance with some example embodiments, promotional
computing device 812 can includes various means, such as detection
module 814, capturing module 816 and/or calculating module 818.
[0197] Detection module 814 may be included and configured to
perform the functionality discussed herein related to accessing a
network or the world wide web (WWW) and/or detecting a presence of
information related to a provider on a network or WWW. In some
embodiments, some or all of the functionality of detection module
814 may be performed by processor 32. In this regard, the example
processes and algorithms discussed herein can be performed by at
least one processor 32 and/or detection module 814. For example,
non-transitory computer readable media can be configured to store
firmware, one or more application programs, and/or other software,
which include instructions and other computer-readable program code
portions that can be executed to control each processor (e.g.,
processor 32 and/or detection module 814) of the components of
promotional computing device 810 to implement various operations,
including the examples shown above. As such, a series of
computer-readable program code portions are embodied in one or more
computer program products and can be used, with a computing device,
server, and/or other programmable apparatus, to produce
machine-implemented processes.
[0198] Capturing module 816 can be configured to capturing review
information from a network, the WWW, and/or a database. In order to
capture review information, capturing module 816 may be configured
to determine locations and/or formats of review information.
[0199] Calculating module 818 may be configured to assign,
calculate or determine a provider quality score. Alternatively or
additionally, calculating module 818 can be configured to calculate
a review score from a plurality of different formats and/or sources
to be utilized in the assignment, calculation and/or determination
of the provider quality score. Furthermore, the Calculating module
818 can be configured to convert, trim and/or selectively utilize
review information and/or review scores.
[0200] As will be appreciated, any such computer program
instructions and/or other type of code may be loaded onto a
computer, processor or other programmable apparatus's circuitry to
produce a machine, such that the computer, processor other
programmable circuitry that execute the code on the machine create
the means for implementing various functions, including those
described herein.
[0201] As described above and as will be appreciated based on this
disclosure, embodiments of the present invention may be configured
as methods, mobile devices, backend network devices, and the like.
Accordingly, embodiments may comprise various means including
entirely of hardware or any combination of software and hardware.
Furthermore, embodiments may take the form of a computer program
product on at least one non-transitory computer-readable storage
medium having computer-readable program instructions (e.g.,
computer software) embodied in the storage medium. Any suitable
computer-readable storage medium may be utilized including
non-transitory hard disks, CD-ROMs, flash memory, optical storage
devices, or magnetic storage devices.
[0202] Embodiments of the present invention have been described
above with reference to block diagrams and flowchart illustrations
of methods, apparatuses, systems and computer program products. It
will be understood that each block of the circuit diagrams and
process flowcharts, and combinations of blocks in the circuit
diagrams and process flowcharts, respectively, can be implemented
by various means including computer program instructions. These
computer program instructions may be loaded onto a general purpose
computer, special purpose computer, or other programmable data
processing apparatus to produce a machine, such that the computer
program product includes the instructions which execute on the
computer or other programmable data processing apparatus create a
means for implementing the functions specified in the flowchart
block or blocks.
[0203] These computer program instructions may also be stored in a
computer-readable storage device that can direct a computer or
other programmable data processing apparatus to function in a
particular manner, such that the instructions stored in the
computer-readable storage device produce an article of manufacture
including computer-readable instructions for implementing the
function discussed herein. The computer program instructions may
also be loaded onto a computer or other programmable data
processing apparatus to cause a series of operational steps to be
performed on the computer or other programmable apparatus to
produce a computer-implemented process such that the instructions
that execute on the computer or other programmable apparatus
provide steps for implementing the functions discussed herein.
[0204] Accordingly, blocks of the block diagrams and flowchart
illustrations support combinations of means for performing the
specified functions, combinations of steps for performing the
specified functions and program instruction means for performing
the specified functions. It will also be understood that each block
of the circuit diagrams and process flowcharts, and combinations of
blocks in the circuit diagrams and process flowcharts, can be
implemented by special purpose hardware-based computer systems that
perform the specified functions or steps, or combinations of
special purpose hardware and computer instructions.
[0205] Many modifications and other embodiments of the inventions
set forth herein will come to mind to one skilled in the art to
which these embodiments of the invention pertain having the benefit
of the teachings presented in the foregoing descriptions and the
associated drawings. Therefore, it is to be understood that the
embodiments of the invention are not to be limited to the specific
embodiments disclosed and that modifications and other embodiments
are intended to be included within the scope of the appended
claims. Although specific terms are employed herein, they are used
in a generic and descriptive sense only and not for purposes of
limitation.
* * * * *