Displaying information about distributed group discussions

• US 9,552,399 B1
• Filed: 03/07/2014
• Issued: 01/24/2017
• Est. Priority Date: 03/08/2013
• Status: Active Grant

• Current Assignee: Deloitte Development LLC
• Original Assignee: Blab Incorporated
• Inventors: Browning, Randolph, Snelling, David Aaron, Papp, Stefan Nicholas, Zimmermann, Bernhard G., Young, James Robert Jr., Harrison, Trinity Alana, Bressler, Benjamin Ralph
• Primary Examiner(s): THAI, HANH B
• Application Number:
  US14/201,650
• Time in Patent Office: 1,054 Days
• Field of Search: 707737-738
• US Class Current: 1/1
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/345 Summarisation for human users
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Techniques are described for analyzing user-supplied information, including to predict future aspects of additional information that will be supplied by users. The analyzed information may include distributed group discussions involving numerous users and occurring via user comments and other content items supplied to social networking site(s) and/or other computer-accessible sites. The techniques further include displaying information to users about analyzed and/or predicted information for one or more categories and/or topics or other attributes, to reflect corresponding constituent content items for those categories/topics/attributes for one or more time periods—the information display may further occur in a real-time or near-real-time manner with respect to corresponding events or activities to which the information corresponds (such as within seconds, minutes or hours), and may display information about total quantity of constituent content items, rate of change in total quantity, aggregate sentiment, etc.

Claims

1. A computer-implemented method comprising:

obtaining, by one or more configured computing systems of a group discussion prediction service, information about a distributed group discussion involving a plurality of users, wherein the obtained information includes first information about a plurality of content items already submitted by the plurality of users during one or more time periods and includes second information about one or more predictions by the group discussion prediction service regarding future content items that will be submitted by users for the distributed group discussion during one or more future time periods;

selecting, by the one or more configured computing systems, multiple factors to use in summarizing the obtained information for each of multiple time periods that include the one or more time periods and the one or more future time periods, wherein the multiple selected factors include a total quantity of content items supplied during each of the multiple time periods and include a rate of change in total quantity of content items supplied between two or more of the multiple time periods;

determining, by the one or more configured computing systems, multiple visual aspects to use to display information about the multiple selected factors to one or more users, wherein each of the multiple selected factors is associated with one of the multiple visual aspects, and wherein the multiple visual aspects include sizes of displayed items, vertical locations or movements of displayed items, halos or shadows associated with displayed items, and colors of displayed item;

generating, by the one or more configured computing systems, information for display that is based on at least some of the first information and on at least some of the second information, the generated information including, for each of the multiple selected factors, a summarization that is represented using the associated one visual aspect for the selected factor and that is based on a subset of the obtained information that corresponds to the selected factor; and

initiating, by the one or more configured computing systems and before the one or more future time periods, display of the generated information to the one or more users.

2. The method of claim 1 wherein the plurality of content items includes textual user comments supplied by the plurality of users related to multiple categories, and wherein the multiple selected factors further include, for each of the multiple categories, a total quantity of content items supplied during each of the multiple time periods that are associated with the category and include a rate of change in total quantity of content items supplied between two or more of the multiple time periods that are associated with the category.

3. The method of claim 2 wherein the display of the generated information occurs on a client device of each of the one or more users and includes multiple displayed items such that each of the multiple categories has at least one associated displayed item, and wherein the multiple visual aspects include a size of each of the multiple displayed items, a vertical location or movement of each of the multiple displayed items, a halo or shadow associated with each of the multiple displayed items, and a color of each of the multiple displayed items.

4. The method of claim 1 wherein the plurality of content items includes textual user comments supplied by the plurality of users related to multiple topics within a category, and wherein the multiple selected factors include, for each of the multiple topics, a total quantity of content items during each of the multiple time periods that are associated with the topic, a rate of change in total quantity of content items supplied between two or more of the multiple time periods that are associated with the topic, and an aggregate sentiment of content items during at least one of the multiple time periods for the topic.

5. The method of claim 4 wherein the display of the generated information occurs on a client device of each of the one or more users and includes multiple displayed items such that each of the multiple topics has an associated displayed item that represents a comment group for the topic, and wherein the multiple visual aspects include a size of each of the multiple displayed items, a vertical location or movement of each of the multiple displayed items, a halo or shadow associated with each of the multiple displayed items, and a color of each of the multiple displayed items.

6. A computer-implemented method comprising:

obtaining, by one or more configured computing systems of a group discussion prediction service, information about a distributed group discussion that involves a plurality of users submitting a plurality of content items for the distributed group discussion, the obtained information including information about one or more predictions by the group discussion prediction service regarding future content items that will be submitted for the distributed group discussion;

selecting, by the one or more configured computing systems, multiple factors to use in summarizing information about the distributed group discussion;

determining, by the one or more configured computing systems, multiple visual aspects to use to display information about the multiple selected factors, wherein the multiple visual aspects include sizes of displayed items and vertical locations of displayed items, and wherein each of the multiple selected factors is associated with at least one of the multiple visual aspects;

generating, by the one or more configured computing systems, information for display to one or more users that is based at least in part on the one or more predictions, the generated information including, for each of the multiple selected factors, a summarization that is represented using the at least one visual aspect associated with the selected factor and that is based on at least some of the obtained information corresponding to the selected factor; and

providing, by the one or more configured computing systems, the generated information for display to the one or more users.

7. The method of claim 6 wherein the providing of the generated information includes initiating the display of the generated information on one or more client devices of the one or more users.

8. The method of claim 6 wherein the plurality of content items are separated into multiple comment groups each corresponding to one of multiple attributes for a category of information, and wherein the multiple selected factors include at least one of a group of factors including a total quantity of supplied content items for each of at least one of the multiple comment groups, an aggregate sentiment of supplied content items for each of at least one of the multiple comment groups, and a rate of change in total quantity of content items supplied between two or more time periods for each of at least one of the multiple comment groups.

9. The method of claim 8 wherein display of the generated information includes at least one displayed item for each of the multiple comment groups, and wherein the multiple visual aspects include at least one of a group of visual aspects including absolute size of a displayed item, relative size between two or more displayed items, absolute vertical location of a displayed item, relative vertical location of a displayed item to at least one other location, and a halo associated with a displayed item.

10. The method of claim 8 wherein the multiple visual aspects include absolute size of a displayed item, absolute vertical location of a displayed item, a halo associated with a displayed item, and a color of a displayed item.

11. The method of claim 8 wherein the multiple visual aspects include relative size between two or more displayed items and relative vertical location of a displayed item to at least one other location.

12. The method of claim 8 wherein the generated information includes information about multiple time periods, wherein the total quantity of supplied content items for each of the at least one comment groups is further determined for each of at least one of the time periods, and wherein the aggregate sentiment of supplied content items for each of the at least one comment groups is further determined for each of at least one of the time periods.

13. The method of claim 8 wherein the generated information includes information about multiple time periods that include one or more time periods for which users have already supplied content items and one or more future time periods that have not yet occurred, and wherein the multiple selected factors include the total quantity of content items for each of the at least one comment groups that are supplied during each of the multiple time periods.

14. The method of claim 8 wherein the multiple selected factors include the total quantity of supplied content items for each of the multiple comment groups, the rate of change in total quantity of content items supplied between the two or more time periods for each of at least one of the multiple comment groups, and the aggregate sentiment of supplied content items for each of at least one of the multiple comment groups.

15. The method of claim 8 wherein the multiple attributes include multiple distinct topics within the category of information.

16. The method of claim 8 wherein the multiple attributes include multiple distinct users of the plurality of users.

17. The method of claim 8 wherein the multiple attributes include multiple distinct user identifiers.

18. The method of claim 8 wherein the multiple attributes include multiple distinct geographical locations from which content items are supplied.

19. The method of claim 8 wherein the multiple attributes include multiple distinct comment data sources to which users supply content items.

20. The method of claim 6 wherein the plurality of content items are separated into multiple categories of information, and wherein the multiple selected factors include at least one of a group of factors that includes a total quantity of supplied content items for each of the multiple categories, an aggregate sentiment of supplied content items for each of the multiple categories, and a rate of change in total quantity of content items supplied between two or more time periods for each of the multiple categories.

21. The method of claim 20 wherein display of the generated information includes at least one displayed item for each of the multiple categories, and wherein the multiple visual aspects include at least one of a group including size of a displayed item, vertical location of a displayed item, horizontal location of a displayed item, and a halo associated with a displayed item.

22. The method of claim 20 wherein the generated information includes information about multiple time periods, wherein the total quantity of supplied content items for each of the multiple categories is further determined for each of at least one of the time periods, and wherein the aggregate sentiment of supplied content items for each of the multiple categories is further determined for each of at least one of the time periods.

23. The method of claim 20 wherein the generated information includes information about multiple time periods that include one or more time periods for which users have already supplied content items and one or more future time periods that have not yet occurred, and wherein the multiple selected factors include the total quantity of content items for each of at least one of the multiple categories that are supplied during each of the multiple time periods.

24. The method of claim 6 wherein display of the generated information includes at least one displayed item for each of the multiple selected factors, and wherein the multiple visual aspects include multiple of a group of visual aspects including absolute size of a displayed item, relative size between two or more displayed items, absolute vertical location of a displayed item, relative vertical location of a displayed item to at least one other location, absolute horizontal location of a displayed item, relative horizontal location of a displayed item to at least one other location, absolute vertical movement of a displayed item, relative vertical movement of a displayed item to at least one location, absolute horizontal movement of a displayed item, relative horizontal movement of a displayed item to at least one location, a halo associated with a displayed item, a shadow associated with a displayed item, color of a displayed item, highlighting of a displayed item, bolding of a displayed item, italicizing of a displayed item, underlining of a displayed item, displayed textual content, and displayed graphical content.

25. The method of claim 6 wherein display of the generated information includes multiple displayed items corresponding to the multiple selected factors, and includes a larger displayed item that encompasses the multiple displayed items and that represents some or all of the distributed group discussion.

26. The method of claim 6 wherein one or more of the multiple selected factors is configurable by at least one of the one or more users.

27. The method of claim 6 wherein one or more of the multiple visual aspects is configurable by at least one of the one or more users.

28. The method of claim 6 wherein one or more of the multiple selected factors is automatically personalized for at least one of the one or more users.

29. The method of claim 6 wherein one or more of the multiple visual aspects is automatically personalized for at least one of the one or more users.

30. The method of claim 6 wherein the plurality of content items further includes multiple content items supplied during each of one or more current or past time periods, and wherein the information about the one or more predictions indicates predictions of future content items that will be submitted during each of one or more future time periods that occur after the providing of the generated information for display.

31. The method of claim 6 wherein the plurality of content items include a plurality of comments supplied from a plurality of geographical locations to a plurality of online social networking sites.

32. The method of claim 8 wherein the plurality of content items includes textual user comments supplied to each of multiple comment data sources.

33. A non-transitory computer-readable medium having stored contents that, when executed, configure a computing system to perform a method, the method comprising:

obtaining, by the configured computing system, information about a distributed group discussion having a plurality of content items submitted by a plurality of users related to multiple topics;

determining, by the configured computing system, multiple visual aspects to use to display information to one or more users about the multiple topics, including at least one sizes of displayed items or vertical locations of displayed items;

generating, by the configured computing system, information for display to the one or more users, the generated information including, for each of the multiple topics, at least one summarization that is based on a subset of the obtained information corresponding to the topic and that is represented using at least one of the multiple visual aspects; and

providing, by the configured computing system, the generated information for display to the one or more users.

34. The non-transitory computer-readable medium of claim 33 wherein the obtained information further includes information about one or more predictions regarding future content items that will be submitted for the distributed group discussion for one or more future time periods, wherein the generated information includes information based on the one or more predictions, and wherein the providing of the generated information is performed before the one or more future time periods.

35. The non-transitory computer-readable medium of claim 33 wherein the multiple topics are part of multiple comment groups within an information category, and wherein the generated information illustrates comparative information for the multiple comment groups within the information category.

36. The non-transitory computer-readable medium of claim 33 wherein the multiple topics are part of multiple categories of information, and wherein the generated information illustrates comparative information for the multiple categories of information.

37. The non-transitory computer-readable medium of claim 33 wherein the configured computing system is part of a group discussion prediction service, wherein the at least one summarization includes multiple summarizations corresponding to multiple selected factors for use in summarizing information about the distributed group discussion, wherein the multiple summarizations are each associated with one of the determined multiple visual aspects, and wherein the stored contents include software instructions that, when executed, program the configured computing system to perform the method.

38. A configured system comprising:

one or more hardware processors of one or more computing systems; and

one or more modules that are configured to, when executed by at least one of the one or more hardware processors, initiate display of summarized information about a distributed group discussion having a plurality of content items submitted by a plurality of users, by;

obtaining information about one or more predictions regarding future content items that will be submitted for the distributed group discussion;

determining multiple visual aspects to use to display information to one or more users about multiple topics indicated in the plurality of content items;

generating information for display to the one or more users that is based at least in part on the one or more predictions, the generated information including, for each of the multiple topics, at least one summarization that is based on content items of the distributed group discussion corresponding to the topic and that is represented using at least one of the multiple visual aspects; and

providing the generated information for display to the one or more users.

39. The system of claim 38 wherein the multiple topics are part of multiple comment groups within an information category, and wherein the generated information illustrates comparative information for the multiple comment groups within the information category.

40. The system of claim 38 wherein the multiple topics are part of multiple categories of information, and wherein the generated information illustrates comparative information for the multiple categories of information.

41. The system of claim 38 wherein the at least one summarization includes multiple summarizations corresponding to multiple selected factors for use in summarizing information about the distributed group discussion, wherein the multiple summarizations are each associated with one of the determined multiple visual aspects, and wherein the one or more modules are part of a group discussion prediction service and include software instructions that, when executed, program the at least one hardware processors to perform the initiating of the display of the summarized information about the distributed group discussion.

42. The system of claim 38 wherein the one or more modules consist of one or more means for performing the initiating of the display of the summarized information about the distributed group discussion.