U.S. patent application number 16/124643 was filed with the patent office on 2019-01-03 for content analysis based selection of user communities or groups of users.
The applicant listed for this patent is International Business Machines Corporation. Invention is credited to Ram Krishnamurthy, Anurag Srivastava.
Application Number | 20190007524 16/124643 |
Document ID | / |
Family ID | 58798595 |
Filed Date | 2019-01-03 |
United States Patent
Application |
20190007524 |
Kind Code |
A1 |
Krishnamurthy; Ram ; et
al. |
January 3, 2019 |
Content Analysis Based Selection of User Communities or Groups of
Users
Abstract
A mechanism is provided in a data processing system for content
analysis based automatic selection of user communities or groups of
users. The mechanism receives content to be published from a user
and performing content analysis on the content to identify a
context of the content. The mechanism identifying a social
collaboration community based on the user's associations with
social collaboration communities, the context of the content, and a
community registry of social collaboration communities. The
mechanism publishes the content in the identified social
collaboration community.
Inventors: |
Krishnamurthy; Ram;
(Westford, MA) ; Srivastava; Anurag; (Pune,
IN) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
International Business Machines Corporation |
Armonk |
NY |
US |
|
|
Family ID: |
58798595 |
Appl. No.: |
16/124643 |
Filed: |
September 7, 2018 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
|
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14959577 |
Dec 4, 2015 |
10079911 |
|
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16124643 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
H04L 67/327 20130101;
H04N 21/23109 20130101; H04N 21/25 20130101; H04N 21/20 20130101;
H04L 51/32 20130101; H04N 21/218 20130101; G06Q 50/01 20130101 |
International
Class: |
H04L 29/08 20060101
H04L029/08; G06Q 50/00 20060101 G06Q050/00; H04N 21/218 20060101
H04N021/218; H04N 21/25 20060101 H04N021/25; H04N 21/20 20060101
H04N021/20; H04L 12/58 20060101 H04L012/58; H04N 21/231 20060101
H04N021/231 |
Claims
1. A method, in a data processing system comprising at least one
processor and at least one memory, the at least one memory
comprising instructions that are executed by the at least one
processor to specifically configure the at least one processor to
implement a community selection system for content analysis based
automatic selection of user communities or groups of users, the
method comprising: receiving, by the community selection system
from a client data processing system of a user, content authored by
the user to be published; performing, by a content analysis engine
executing within the community selection system, content analysis
on the content to identify a context of the content; identifying,
by the community selection system, one or more social collaboration
communities to which the user belongs using a user registry data
structure; selecting, by the community selection system a social
collaboration community based on the identified one or more social
collaboration communities to which the user belongs, the context of
the content, and a community registry data structure of social
collaboration communities; publishing, by the community selection
system, the content to a community server data processing system in
the selected social collaboration community; receiving, by the
community selection system, feedback from the selected social
collaboration community regarding the content; analyzing, by a
feedback analysis engine executing within the community selection
system, the feedback; and determining, by the community selection
system, whether to return the content to the user to edit based on
results of analyzing the feedback.
2. (canceled)
3. The method of claim 1, further comprising: determining whether
to republish the content to a second community based on results of
analyzing the feedback, wherein the second community has a wider
audience than the social collaboration community.
4. The method of claim 1, further comprising: determining whether
to republish the content to a second community based on results of
analyzing the feedback, wherein the second community has an
audience with a higher expertise level than the social
collaboration community.
5. The method of claim 1, further comprising: determining whether
to republish the content to a second community based on results of
analyzing the feedback, wherein the second community has an
audience with a lower expertise level than the social collaboration
community.
6. (canceled)
7. The method of claim 1, further comprising: receiving edited
content from the user; and publishing the edited content to the
social collaboration community.
8. A computer program product comprising a computer readable
storage medium having a computer readable program stored therein,
wherein the computer readable program, when executed on a computing
device, causes the computing device to implement a community
selection system for content analysis based automatic selection of
user communities or groups of users, wherein the computer readable
program causes the computing device to: receive, by the community
selection system from a client data processing system of a user,
content authored by the user to be published; perform, by a content
analysis engine executing within the community selection system,
content analysis on the content to identify a context of the
content; identify, by the community selection system, one or more
social collaboration communities to which the user belongs using a
user registry data structure; select, by the community selection
system, a social collaboration community based on the identified
one or more social collaboration communities to which the user
belongs the context of the content, and a community registry data
structure of social collaboration communities; publish, by the
community selection system, the content to a community server data
processing system in the selected social collaboration community;
receive, by the community selection system, feedback from the
selected social collaboration community regarding the content;
analyze, by a feedback analysis engine executing within the
community selection system, the feedback; and determine, by the
community selection system, whether to return the content to the
user to edit based on results of analyzing the feedback.
9. (canceled)
10. The computer program product of claim 8, wherein the computer
readable program causes the computing device to: determine whether
to republish the content to a second community based on results of
analyzing the feedback, wherein the second community has a wider
audience than the social collaboration community.
11. The computer program product of claim 8, wherein the computer
readable program causes the computing device to: determine whether
to republish the content to a second community based on results of
analyzing the feedback, wherein the second community has an
audience with a higher expertise level than the social
collaboration community.
12. The computer program product of claim 8, wherein the computer
readable program causes the computing device to: determine whether
to republish the content to a second community based on results of
analyzing the feedback, wherein the second community has an
audience with a lower expertise level than the social collaboration
community.
13. (canceled)
14. The computer program product of claim 8, wherein the computer
readable program further causes the computing device to: receive
edited content from the user; and publish the edited content to the
social collaboration community.
15. An apparatus comprising: a processor, and a memory coupled to
the processor, wherein the memory comprises instructions which,
when executed by the processor, cause the processor to implement a
community selection system for content analysis based automatic
selection of user communities or groups of users, wherein the
instructions cause the processor to: receive, by the community
selection system from a client data processing system of a user,
content authored by the user to be published; perform, by a content
analysis engine executing within the community selection system,
content analysis on the content to identify a context of the
content; identify, by the community selection system, one or more
social collaboration communities to which the user belongs using a
user registry data structure; select, by the community selection
system, a social collaboration community based on the identified
one or more social collaboration communities to which the user
belongs, the context of the content, and a community registry data
structure of social collaboration communities; publish, by the
community selection system, the content to a community server data
processing system in the selected social collaboration community;
receive, by the community selection system, feedback from the
selected social collaboration community regarding the content;
analyze, by a feedback analysis engine executing within the
community selection system, the feedback; and determine, by the
community selection system, whether to return the content to the
user to edit based on results of analyzing the feedback.
16. (canceled)
17. The apparatus of claim 15, wherein the instructions further
cause the processor to: determine whether to republish the content
to a second community based on results of analyzing the feedback,
wherein the second community has a wider audience than the social
collaboration community.
18. The apparatus of claim 15, wherein the instructions further
cause the processor to: determine whether to republish the content
to a second community based on results of analyzing the feedback,
wherein the second community has an audience with a higher
expertise level than the social collaboration community.
19. The apparatus of claim 15, wherein the instructions further
cause the processor to: determine whether to republish the content
to a second community based on results of analyzing the feedback,
wherein the second community has an audience with a lower expertise
level than the social collaboration community.
20. The apparatus of claim 15, wherein the instructions further
cause the processor to: receive edited content from the user; and
publish the edited content to the social collaboration community.
Description
BACKGROUND
[0001] The present application relates generally to an improved
data processing apparatus and method and more specifically to
mechanisms for content analysis based automatic selection of user
communities or groups of users.
[0002] Social collaboration is a key growing area that will
continue to grow in the future. Social collaboration is about
content sharing and retrieval. Only a small percentage of people
write content that is shared over the Internet for millions of
users. This makes sharing content as the most important aspect of
social collaboration.
SUMMARY
[0003] This Summary is provided to introduce a selection of
concepts in a simplified form that are further described herein in
the Detailed Description. This Summary is not intended to identify
key factors or essential features of the claimed subject matter,
nor is it intended to be used to limit the scope of the claimed
subject matter.
[0004] In one illustrative embodiment, a method, in a data
processing system, is provided for content analysis based automatic
selection of user communities or groups of users. The method
comprises receiving content to be published from a user and
performing content analysis on the content to identify a context of
the content. The method further comprises identifying a social
collaboration community based on the user's associations with
social collaboration communities, the context of the content, and a
community registry of social collaboration communities and
publishing the content in the identified social collaboration
community.
[0005] In other illustrative embodiments, a computer program
product comprising a computer useable or readable medium having a
computer readable program is provided. The computer readable
program, when executed on a computing device, causes the computing
device to perform various ones of, and combinations of, the
operations outlined above with regard to the method illustrative
embodiment.
[0006] In yet another illustrative embodiment, a system/apparatus
is provided. The system/apparatus may comprise one or more
processors and a memory coupled to the one or more processors. The
memory may comprise instructions which, when executed by the one or
more processors, cause the one or more processors to perform
various ones of, and combinations of, the operations outlined above
with regard to the method illustrative embodiment.
[0007] These and other features and advantages of the present
invention will be described in, or will become apparent to those of
ordinary skill in the art in view of, the following detailed
description of the example embodiments of the present
invention.
BRIEF DESCRIPTION OF THE DRAWINGS
[0008] The invention, as well as a preferred mode of use and
further objectives and advantages thereof, will best be understood
by reference to the following detailed description of illustrative
embodiments when read in conjunction with the accompanying
drawings, wherein:
[0009] FIG. 1 is an example diagram of a distributed data
processing system in which aspects of the illustrative embodiments
may be implemented;
[0010] FIG. 2 is an example block diagram of a computing device in
which aspects of the illustrative embodiments may be
implemented;
[0011] FIG. 3 is a block diagram of a system for content analysis
based automatic selection of user communities or groups of users in
accordance with an illustrative embodiment;
[0012] FIG. 4 is a flowchart illustrating operation of a community
selection system for content analysis based automatic selection of
user communities or groups of users in accordance with an
illustrative embodiment; and
[0013] FIG. 5 is a flowchart illustrating operation of a community
selection system for multi-phased content publication in accordance
with an illustrative embodiment.
DETAILED DESCRIPTION
[0014] Content sharing is an important aspect of social
collaboration. People write content, such as wikis, blogs, etc.,
and manually share the content with their connections. If the
authors know about user communities, then they may add their
content in these communities manually. This manual sharing of
content with user connections or with the community of which a user
is aware is highly inefficient.
[0015] Sometimes, an author wants to share content with a smaller
group first and only after collecting feedback from this smaller
group is the content made available to a larger audience. This
process is also manual and error prone as sometimes users or
communities are not selected in the first round, and the quality of
feedback suffers.
[0016] The illustrative embodiments provide a mechanism for content
analysis based automatic selection of user selection of user
communities or groups of users. The mechanism helps authors or an
enterprise increase the reach to share content with multiple
communities or user groups by using content analysis, user
registry, and community registry. The mechanism analyzes the
content to understand the context or area to which the content
belongs. The mechanism selects and suggests the communities or user
connections to which the user may share or publish the content.
[0017] The user may preconfigure the delivery of content in
multiple phases. After the content is published, the mechanism
analyzes the responses from various feedback paths, such as
comment, ratings, emails, etc., in each phase to determine the next
set of users or communities with which to share the content. The
user may also preconfigure a phase as the final phase in which
content is to be made available to targeted communities or all
possible communities. The user may not be part of all of the
communities where content is published. The illustrative
embodiments propose a relationship between communities. Using these
relationships, the mechanism may publish content from a given
community to a much larger number of related communities.
[0018] Before beginning the discussion of the various aspects of
the illustrative embodiments, it should first be appreciated that
throughout this description the term "mechanism" will be used to
refer to elements of the present invention that perform various
operations, functions, and the like. A "mechanism," as the term is
used herein, may be an implementation of the functions or aspects
of the illustrative embodiments in the form of an apparatus, a
procedure, or a computer program product. In the case of a
procedure, the procedure is implemented by one or more devices,
apparatus, computers, data processing systems, or the like. In the
case of a computer program product, the logic represented by
computer code or instructions embodied in or on the computer
program product is executed by one or more hardware devices in
order to implement the functionality or perform the operations
associated with the specific "mechanism." Thus, the mechanisms
described herein may be implemented as specialized hardware,
software executing on general purpose hardware, software
instructions stored on a medium such that the instructions are
readily executable by specialized or general purpose hardware, a
procedure or method for executing the functions, or a combination
of any of the above.
[0019] The present description and claims may make use of the terms
"a," "at least one of," and "one or more of" with regard to
particular features and elements of the illustrative embodiments.
It should be appreciated that these terms and phrases are intended
to state that there is at least one of the particular feature or
element present in the particular illustrative embodiment, but that
more than one can also be present. That is, these terms/phrases are
not intended to limit the description or claims to a single
feature/element being present or require that a plurality of such
features/elements be present. To the contrary, these terms/phrases
only require at least a single feature/element with the possibility
of a plurality of such features/elements being within the scope of
the description and claims.
[0020] Moreover, it should be appreciated that the use of the term
"engine," if used herein with regard to describing embodiments and
features of the invention, is not intended to be limiting of any
particular implementation for accomplishing and/or performing the
actions, steps, processes, etc., attributable to and/or performed
by the engine. An engine may be, but is not limited to, software,
hardware and/or firmware or any combination thereof that performs
the specified functions including, but not limited to, any use of a
general and/or specialized processor in combination with
appropriate software loaded or stored in a machine readable memory
and executed by the processor. Further, any name associated with a
particular engine is, unless otherwise specified, for purposes of
convenience of reference and not intended to be limiting to a
specific implementation. Additionally, any functionality attributed
to an engine may be equally performed by multiple engines,
incorporated into and/or combined with the functionality of another
engine of the same or different type, or distributed across one or
more engines of various configurations.
[0021] In addition, it should be appreciated that the following
description uses a plurality of various examples for various
elements of the illustrative embodiments to further illustrate
example implementations of the illustrative embodiments and to aid
in the understanding of the mechanisms of the illustrative
embodiments. These examples intended to be non-limiting and are not
exhaustive of the various possibilities for implementing the
mechanisms of the illustrative embodiments. It will be apparent to
those of ordinary skill in the art in view of the present
description that there are many other alternative implementations
for these various elements that may be utilized in addition to, or
in replacement of, the examples provided herein without departing
from the spirit and scope of the present invention.
[0022] The illustrative embodiments may be utilized in many
different types of data processing environments. In order to
provide a context for the description of the specific elements and
functionality of the illustrative embodiments, FIGS. 1 and 2 are
provided hereafter as example environments in which aspects of the
illustrative embodiments may be implemented. It should be
appreciated that FIGS. 1 and 2 are only examples and are not
intended to assert or imply any limitation with regard to the
environments in which aspects or embodiments of the present
invention may be implemented. Many modifications to the depicted
environments may be made without departing from the spirit and
scope of the present invention.
[0023] FIG. 1 depicts a pictorial representation of an example
distributed data processing system in which aspects of the
illustrative embodiments may be implemented. Distributed data
processing system 100 may include a network of computers in which
aspects of the illustrative embodiments may be implemented. The
distributed data processing system 100 contains at least one
network 102, which is the medium used to provide communication
links between various devices and computers connected together
within distributed data processing system 100. The network 102 may
include connections, such as wire, wireless communication links, or
fiber optic cables.
[0024] In the depicted example, server 104 and server 106 are
connected to network 102 along with storage unit 108. In addition,
clients 110, 112, and 114 are also connected to network 102. These
clients 110, 112, and 114 may be, for example, personal computers,
network computers, or the like. In the depicted example, server 104
provides data, such as boot files, operating system images, and
applications to the clients 110, 112, and 114. Clients 110, 112,
and 114 are clients to server 104 in the depicted example.
Distributed data processing system 100 may include additional
servers, clients, and other devices not shown.
[0025] In the depicted example, distributed data processing system
100 is the Internet with network 102 representing a worldwide
collection of networks and gateways that use the Transmission
Control Protocol/Internet Protocol (TCP/IP) suite of protocols to
communicate with one another. At the heart of the Internet is a
backbone of high-speed data communication lines between major nodes
or host computers, consisting of thousands of commercial,
governmental, educational and other computer systems that route
data and messages. Of course, the distributed data processing
system 100 may also be implemented to include a number of different
types of networks, such as for example, an intranet, a local area
network (LAN), a wide area network (WAN), or the like. As stated
above, FIG. 1 is intended as an example, not as an architectural
limitation for different embodiments of the present invention, and
therefore, the particular elements shown in FIG. 1 should not be
considered limiting with regard to the environments in which the
illustrative embodiments of the present invention may be
implemented.
[0026] As shown in FIG. 1, one or more of the computing devices,
e.g., server 104, may be specifically configured to implement a
content analysis based automatic selection of user communities or
groups of users. The configuring of the computing device may
comprise the providing of application specific hardware, firmware,
or the like to facilitate the performance of the operations and
generation of the outputs described herein with regard to the
illustrative embodiments. The configuring of the computing device
may also, or alternatively, comprise the providing of software
applications stored in one or more storage devices and loaded into
memory of a computing device, such as server 104, for causing one
or more hardware processors of the computing device to execute the
software applications that configure the processors to perform the
operations and generate the outputs described herein with regard to
the illustrative embodiments. Moreover, any combination of
application specific hardware, firmware, software applications
executed on hardware, or the like, may be used without departing
from the spirit and scope of the illustrative embodiments.
[0027] It should be appreciated that once the computing device is
configured in one of these ways, the computing device becomes a
specialized computing device specifically configured to implement
the mechanisms of the illustrative embodiments and is not a general
purpose computing device. Moreover, as described hereafter, the
implementation of the mechanisms of the illustrative embodiments
improves the functionality of the computing device and provides a
useful and concrete result that facilitates content analysis based
automatic selection of user communities or groups of users.
[0028] As noted above, the mechanisms of the illustrative
embodiments utilize specifically configured computing devices, or
data processing systems, to perform the operations for content
analysis based automatic selection of user communities or groups of
users. These computing devices, or data processing systems, may
comprise various hardware elements which are specifically
configured, either through hardware configuration, software
configuration, or a combination of hardware and software
configuration, to implement one or more of the systems/subsystems
described herein.
[0029] FIG. 2 is a block diagram of just one example data
processing system in which aspects of the illustrative embodiments
may be implemented. Data processing system 200 is an example of a
computer, such as server 104 in FIG. 1, in which computer usable
code or instructions implementing the processes and aspects of the
illustrative embodiments of the present invention may be located
and/or executed so as to achieve the operation, output, and
external affects of the illustrative embodiments as described
herein.
[0030] In the depicted example, data processing system 200 employs
a hub architecture including north bridge and memory controller hub
(NB/MCH) 202 and south bridge and input/output (I/O) controller hub
(SB/ICH) 204. Processing unit 206, main memory 208, and graphics
processor 210 are connected to NB/MCH 202. Graphics processor 210
may be connected to NB/MCH 202 through an accelerated graphics port
(AGP).
[0031] In the depicted example, local area network (LAN) adapter
212 connects to SB/ICH 204. Audio adapter 216, keyboard and mouse
adapter 220, modem 222, read only memory (ROM) 224, hard disk drive
(HDD) 226, CD-ROM drive 230, universal serial bus (USB) ports and
other communication ports 232, and PCI/PCIe devices 234 connect to
SB/ICH 204 through bus 238 and bus 240. PCI/PCIe devices may
include, for example, Ethernet adapters, add-in cards, and PC cards
for notebook computers. PCI uses a card bus controller, while PCIe
does not. ROM 224 may be, for example, a flash basic input/output
system (BIOS).
[0032] HDD 226 and CD-ROM drive 230 connect to SB/ICH 204 through
bus 240. HDD 226 and CD-ROM drive 230 may use, for example, an
integrated drive electronics (IDE) or serial advanced technology
attachment (SATA) interface. Super I/O (SIO) device 236 may be
connected to SB/ICH 204.
[0033] An operating system runs on processing unit 206. The
operating system coordinates and provides control of various
components within the data processing system 200 in FIG. 2. As a
client, the operating system may be a commercially available
operating system such as Microsoft.RTM. Windows 7.RTM.. An
object-oriented programming system, such as the Java.TM.
programming system, may run in conjunction with the operating
system and provides calls to the operating system from Java.TM.
programs or applications executing on data processing system
200.
[0034] As a server, data processing system 200 may be, for example,
an IBM eServer.TM. System p.RTM. computer system, Power.TM.
processor based computer system, or the like, running the Advanced
Interactive Executive (AIX.RTM.) operating system or the LINUX.RTM.
operating system. Data processing system 200 may be a symmetric
multiprocessor (SMP) system including a plurality of processors in
processing unit 206. Alternatively, a single processor system may
be employed.
[0035] Instructions for the operating system, the object-oriented
programming system, and applications or programs are located on
storage devices, such as HDD 226, and may be loaded into main
memory 208 for execution by processing unit 206. The processes for
illustrative embodiments of the present invention may be performed
by processing unit 206 using computer usable program code, which
may be located in a memory such as, for example, main memory 208,
ROM 224, or in one or more peripheral devices 226 and 230, for
example.
[0036] A bus system, such as bus 238 or bus 240 as shown in FIG. 2,
may be comprised of one or more buses. Of course, the bus system
may be implemented using any type of communication fabric or
architecture that provides for a transfer of data between different
components or devices attached to the fabric or architecture. A
communication unit, such as modem 222 or network adapter 212 of
FIG. 2, may include one or more devices used to transmit and
receive data. A memory may be, for example, main memory 208, ROM
224, or a cache such as found in NB/MCH 202 in FIG. 2.
[0037] As mentioned above, in some illustrative embodiments the
mechanisms of the illustrative embodiments may be implemented as
application specific hardware, firmware, or the like, application
software stored in a storage device, such as HDD 226 and loaded
into memory, such as main memory 208, for executed by one or more
hardware processors, such as processing unit 206, or the like. As
such, the computing device shown in FIG. 2 becomes specifically
configured to implement the mechanisms of the illustrative
embodiments and specifically configured to perform the operations
and generate the outputs described hereafter with regard to content
analysis based automatic selection of user communities or groups of
users.
[0038] Those of ordinary skill in the art will appreciate that the
hardware in FIGS. 1 and 2 may vary depending on the implementation.
Other internal hardware or peripheral devices, such as flash
memory, equivalent non-volatile memory, or optical disk drives and
the like, may be used in addition to or in place of the hardware
depicted in FIGS. 1 and 2. Also, the processes of the illustrative
embodiments may be applied to a multiprocessor data processing
system, other than the SMP system mentioned previously, without
departing from the spirit and scope of the present invention.
[0039] Moreover, the data processing system 200 may take the form
of any of a number of different data processing systems including
client computing devices, server computing devices, a tablet
computer, laptop computer, telephone or other communication device,
a personal digital assistant (PDA), or the like. In some
illustrative examples, data processing system 200 may be a portable
computing device that is configured with flash memory to provide
non-volatile memory for storing operating system files and/or
user-generated data, for example. Essentially, data processing
system 200 may be any known or later developed data processing
system without architectural limitation.
[0040] FIG. 3 is a block diagram of a system for content analysis
based automatic selection of user communities or groups of users in
accordance with an illustrative embodiment. A user at client 310
submits content 311 to community selection system 320. Community
selection system 320 includes content analysis engine 321 and
feedback analysis engine 322. Content analysis is a wide and
heterogeneous set of manual or computer-assisted techniques for
contextualized interpretations of documents, having as an ultimate
goal the production of valid and trustworthy inferences. Community
selection system 320 selects communities for publishing content 311
based on results of analysis by content analysis engine 321, user
registry 312, and community registry 313.
[0041] Content analysis engine 321 performs content analysis in
each phase of the content publishing process. Content analysis
engine 321 analyzes the content 311 to understand the area that
content is targeting and also understands the context. This
analysis is used to identify correct communities or user groups to
which to publish the content 311.
[0042] User registry 312 maintains each user's membership or
association with various communities. Community registry 313
maintains relationships between different communities. Community
selection system 320 uses community registry 313 to find a large
number of communities in the context of content being
published.
[0043] Based on results of content analysis engine 321, community
selection system 320 identifies a community to publish content 311
to. Then, community selection system 320 publishes content to
community server 330. Community server 330 may return feedback to
community selection system 320. The feedback may comprise user
comments, ratings, or the like.
[0044] Feedback analysis engine 322 analyzes various kinds of
feedback received for the content 311. Community selection system
320 uses the results of this analysis to publish content 311 in a
multi-phased process. Community selection system 320 collects the
feedback from various feedback paths, and feedback analysis engine
322 analyzes the feedback to determine the overall context of the
feedback. Based on the feedback analysis, content selection system
320 determines whether to republish content 311 with a larger
audience whether to return content 311 to client 310 to be edited
and re-shared.
[0045] The present invention may be a system, a method, and/or a
computer program product. The computer program product may include
a computer readable storage medium (or media) having computer
readable program instructions thereon for causing a processor to
carry out aspects of the present invention.
[0046] The computer readable storage medium can be a tangible
device that can retain and store instructions for use by an
instruction execution device. The computer readable storage medium
may be, for example, but is not limited to, an electronic storage
device, a magnetic storage device, an optical storage device, an
electromagnetic storage device, a semiconductor storage device, or
any suitable combination of the foregoing. A non-exhaustive list of
more specific examples of the computer readable storage medium
includes the following: a portable computer diskette, a hard disk,
a random access memory (RAM), a read-only memory (ROM), an erasable
programmable read-only memory (EPROM or Flash memory), a static
random access memory (SRAM), a portable compact disc read-only
memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a
floppy disk, a mechanically encoded device such as punch-cards or
raised structures in a groove having instructions recorded thereon,
and any suitable combination of the foregoing. A computer readable
storage medium, as used herein, is not to be construed as being
transitory signals per se, such as radio waves or other freely
propagating electromagnetic waves, electromagnetic waves
propagating through a waveguide or other transmission media (e.g.,
light pulses passing through a fiber-optic cable), or electrical
signals transmitted through a wire.
[0047] Computer readable program instructions described herein can
be downloaded to respective computing/processing devices from a
computer readable storage medium or to an external computer or
external storage device via a network, for example, the Internet, a
local area network, a wide area network and/or a wireless network.
The network may comprise copper transmission cables, optical
transmission fibers, wireless transmission, routers, firewalls,
switches, gateway computers and/or edge servers. A network adapter
card or network interface in each computing/processing device
receives computer readable program instructions from the network
and forwards the computer readable program instructions for storage
in a computer readable storage medium within the respective
computing/processing device.
[0048] Computer readable program instructions for carrying out
operations of the present invention may be assembler instructions,
instruction-set-architecture (ISA) instructions, machine
instructions, machine dependent instructions, microcode, firmware
instructions, state-setting data, or either source code or object
code written in any combination of one or more programming
languages, including an object oriented programming language such
as Java, Smalltalk, C++ or the like, and conventional procedural
programming languages, such as the "C" programming language or
similar programming languages. The computer readable program
instructions may execute entirely on the user's computer, partly on
the user's computer, as a stand-alone software package, partly on
the user's computer and partly on a remote computer or entirely on
the remote computer or server. In the latter scenario, the remote
computer may be connected to the user's computer through any type
of network, including a local area network (LAN) or a wide area
network (WAN), or the connection may be made to an external
computer (for example, through the Internet using an Internet
Service Provider). In some embodiments, electronic circuitry
including, for example, programmable logic circuitry,
field-programmable gate arrays (FPGA), or programmable logic arrays
(PLA) may execute the computer readable program instructions by
utilizing state information of the computer readable program
instructions to personalize the electronic circuitry, in order to
perform aspects of the present invention.
[0049] Aspects of the present invention are described herein with
reference to flowchart illustrations and/or block diagrams of
methods, apparatus (systems), and computer program products
according to embodiments of the invention. It will be understood
that each block of the flowchart illustrations and/or block
diagrams, and combinations of blocks in the flowchart illustrations
and/or block diagrams, can be implemented by computer readable
program instructions.
[0050] These computer readable program instructions may be provided
to a processor of a general purpose computer, special purpose
computer, or other programmable data processing apparatus to
produce a machine, such that the instructions, which execute via
the processor of the computer or other programmable data processing
apparatus, create means for implementing the functions/acts
specified in the flowchart and/or block diagram block or blocks.
These computer readable program instructions may also be stored in
a computer readable storage medium that can direct a computer, a
programmable data processing apparatus, and/or other devices to
function in a particular manner, such that the computer readable
storage medium having instructions stored therein comprises an
article of manufacture including instructions which implement
aspects of the function/act specified in the flowchart and/or block
diagram block or blocks.
[0051] The computer readable program instructions may also be
loaded onto a computer, other programmable data processing
apparatus, or other device to cause a series of operational steps
to be performed on the computer, other programmable apparatus or
other device to produce a computer implemented process, such that
the instructions which execute on the computer, other programmable
apparatus, or other device implement the functions/acts specified
in the flowchart and/or block diagram block or blocks.
[0052] FIG. 4 is a flowchart illustrating operation of a community
selection system for content analysis based automatic selection of
user communities or groups of users in accordance with an
illustrative embodiment. Operation begins (block 400), and a user
authors content (block 401). The system starts the publishing
process (block 402). The system analyzes content to determine
context or area to which the content belongs (block 403). The
system identifies communities based on the user's associations, the
content context, and a community registry in the context of the
content area (block 404). The system publishes the content in the
identified communities (block 405). Thereafter, operation ends
(block 406).
[0053] FIG. 5 is a flowchart illustrating operation of a community
selection system for multi-phased content publication in accordance
with an illustrative embodiment. Operation begins (block 500), and
a user authors content (block 501). The system starts the
publishing process (block 502). The system analyzes content to
determine context or area to which the content belongs (block 503).
The system identifies communities based on the user's associations,
the content context, and a community registry in the context of
content area (block 504). The system publishes the content in the
identified communities (block 505).
[0054] Then, the system receives feedback from the communities
(block 506) and analyzes the feedback to determine whether to
republish the content to a larger audience (block 507). For
example, if the feedback is positive, then the system may determine
that the content is appropriate to be published to a wider audience
or to an audience with a higher or lower level of expertise. The
system may consult a community registry to determine relationships
between communities. For instance, the community registry may
maintain a relationship between a first community and a second
community such that the second community has a wider audience than
the first community. As another example, the second community has
an audience with a higher expertise level than the first community.
As yet another example, the second community has an audience with a
lower expertise level than the first community.
[0055] The system determines whether to republish the content to
another community (block 508). If the system determines to
republish the content, operation returns to block 504 to identify
communities based on the content context, the community registry,
and the context or content area. Then, the system publishes the
content to the identified communities (block 505).
[0056] If the system determines not to republish the content, then
the system determines whether to return the content to the author
to edit (block 509). If the system determines not to return the
content to the author to edit, then operation returns to block 506
to receive feedback from the communities. If the system determines
to return the content to the author to edit in block 509, then the
user edits the content (block 510), and operation returns to block
505 to publish the edited content in the identified
communities.
[0057] The flowchart and block diagrams in the Figures illustrate
the architecture, functionality, and operation of possible
implementations of systems, methods, and computer program products
according to various embodiments of the present invention. In this
regard, each block in the flowchart or block diagrams may represent
a module, segment, or portion of instructions, which comprises one
or more executable instructions for implementing the specified
logical function(s). In some alternative implementations, the
functions noted in the block may occur out of the order noted in
the figures. For example, two blocks shown in succession may, in
fact, be executed substantially concurrently, or the blocks may
sometimes be executed in the reverse order, depending upon the
functionality involved. It will also be noted that each block of
the block diagrams and/or flowchart illustration, and combinations
of blocks in the block diagrams and/or flowchart illustration, can
be implemented by special purpose hardware-based systems that
perform the specified functions or acts or carry out combinations
of special purpose hardware and computer instructions.
[0058] As noted above, it should be appreciated that the
illustrative embodiments may take the form of an entirely hardware
embodiment, an entirely software embodiment or an embodiment
containing both hardware and software elements. In one example
embodiment, the mechanisms of the illustrative embodiments are
implemented in software or program code, which includes but is not
limited to firmware, resident software, microcode, etc.
[0059] A data processing system suitable for storing and/or
executing program code will include at least one processor coupled
directly or indirectly to memory elements through a system bus. The
memory elements can include local memory employed during actual
execution of the program code, bulk storage, and cache memories
which provide temporary storage of at least some program code in
order to reduce the number of times code must be retrieved from
bulk storage during execution.
[0060] Input/output or I/O devices (including but not limited to
keyboards, displays, pointing devices, etc.) can be coupled to the
system either directly or through intervening I/O controllers.
Network adapters may also be coupled to the system to enable the
data processing system to become coupled to other data processing
systems or remote printers or storage devices through intervening
private or public networks. Modems, cable modems and Ethernet cards
are just a few of the currently available types of network
adapters.
[0061] The description of the present invention has been presented
for purposes of illustration and description, and is not intended
to be exhaustive or limited to the invention in the form disclosed.
Many modifications and variations will be apparent to those of
ordinary skill in the art without departing from the scope and
spirit of the described embodiments. The embodiment was chosen and
described in order to best explain the principles of the invention,
the practical application, and to enable others of ordinary skill
in the art to understand the invention for various embodiments with
various modifications as are suited to the particular use
contemplated. The terminology used herein was chosen to best
explain the principles of the embodiments, the practical
application or technical improvement over technologies found in the
marketplace, or to enable others of ordinary skill in the art to
understand the embodiments disclosed herein.
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