Social network content analysis

• US 10,394,840 B2
• Filed: 06/21/2016
• Issued: 08/27/2019
• Est. Priority Date: 06/21/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bastide, Paul R., Broomhall, Matthew E., Loredo, Robert E.
• Primary Examiner(s): Tran, Loc
• Application Number:
  US15/188,167
• Publication Number:
  US 20170364567A1
• Time in Patent Office: 1,162 Days
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: H04L 51/52 for supporting social networking services

Abstract

A method includes receiving one or more updates in a social networking system corresponding to one or more topics, determining one or more constraints corresponding to the received one or more updates, updating a threshold value associated with each of the one or more determined user constraints, calculating a constraint score corresponding to each constraint of the one or more constraints, determining whether each constraint score meets a selected threshold value, and presenting the update responsive to determining that each constraint score meets a selected threshold value. A computer program product and computer system corresponding to the method are also disclosed.

Claims

1. A method comprising:

receiving one or more updates in a social networking system corresponding to one or more topics;

determining user constraints corresponding to a selected update of the received one or more updates;

updating a threshold value associated with each of the determined user constraints;

calculating a constraint score corresponding to each of the determined user constraints, wherein the constraint scores include;

an author score, which is calculated as a ratio of a number of updates from the selected update'"'"'s author the user has interacted with to the total number of updates provided by the author;

a topic score, which is calculated as a ratio of a number of updates with similar content to the selected update that the user has interacted with to a total number of updates in a user'"'"'s stream with similar content;

a time score, which is calculated as a ratio of an estimated amount of time the user would spend reading the selected update to an amount of time the user is willing to spend reading an update; and

a repetition score;

determining whether each of the constraint scores meets the corresponding updated threshold value; and

presenting the update responsive to determining that each of the constraint scores meets the corresponding updated threshold value.

2. The method of claim 1, further comprising filtering the update from a user'"'"'s activity stream responsive to determining the calculated constraint score does not meet a selected threshold value.

3. The method of claim 1, wherein one of the user constraints corresponds to a user'"'"'s interest level.

4. The method of claim 1, further comprising monitoring a user'"'"'s interactions in a social networking system to form an activity history of interactions by topic.

5. The method of claim 4, wherein the activity history of interactions includes a time spent on each interaction and an interest level in each interaction.

6. The method of claim 1, wherein the one or more received updates are presented based on an ordering corresponding to the calculated constraint scores.

7. A computer program product comprising:

one or more non-transitory computer readable storage media and program instructions stored on the one or more non-transitory computer readable storage media, the program instructions comprising instructions to;

receive one or more updates in a social networking system corresponding to one or more topics;

determine user constraints corresponding to a selected update of the received one or more updates;

update a threshold value associated with each of the determined user constraints;

calculate a constraint score corresponding to each of the determined user constraints, wherein the constraint scores include;

an author score, which is calculated as a ratio of a number of updates from the selected update'"'"'s author the user has interacted with to the total number of updates provided by the author;

a topic score, which is calculated as a ratio of a number of updates with similar content to the selected update that the user has interacted with to a total number of updates in a user'"'"'s stream with similar content;

a time score, which is calculated as a ratio of an estimated amount of time the user would spend reading the selected update to an amount of time the user is willing to spend reading an update; and

a repetition score;

determine whether each of the constraint scores meets the corresponding updated threshold value; and

present the update responsive to determining that each of the constraint scores meets the corresponding updated threshold value.

8. The computer program product of claim 7, further comprising instructions to filter the update from a user'"'"'s activity stream responsive to determining the calculated constraint score does not meet a selected threshold value.

9. The computer program product of claim 7, wherein one of the user constraints corresponds to a user'"'"'s interest level.

10. The computer program product of claim 7, further comprising instructions to monitor a user'"'"'s interactions in a social networking system to form an activity history of interactions by topic.

11. The computer program product of claim 10, wherein the activity history of interactions includes a time spent on each interaction and an interest level in each interaction.

12. The computer program product of claim 7, wherein the one or more received updates are presented based on an ordering corresponding to the calculated constraint scores.

13. A computer system comprising:

one or more computer processors;

one or more computer-readable storage media;

program instructions stored on the computer-readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising instructions to;

receive one or more updates in a social networking system corresponding to one or more topics;

determine user constraints corresponding to a selected update of the received one or more updates;

update a threshold value associated with each of the determined user constraints;

calculate a constraint score corresponding to each of the determined user constraints, wherein the constraint scores include;

an author score, which is calculated as a ratio of a number of updates from the selected update'"'"'s author the user has interacted with to the total number of updates provided by the author;

a topic score, which is calculated as a ratio of a number of updates with similar content to the selected update that the user has interacted with to a total number of updates in a user'"'"'s stream with similar content;

a time score, which is calculated as a ratio of an estimated amount of time the user would spend reading the selected update to an amount of time the user is willing to spend reading an update; and

a repetition score;

determine whether each of the constraint scores meets the corresponding updated threshold value; and

present the update responsive to determining that each of the constraint scores meets the corresponding updated threshold value.

14. The computer system of claim 13, further comprising instructions to filter the update from a user'"'"'s activity stream responsive to determining the calculated constraint score does not meet a selected threshold value.

15. The computer system of claim 13, wherein one of the user constraints corresponds to a user'"'"'s interest level.

16. The computer system of claim 13, further comprising instructions to monitor a user'"'"'s interactions in a social networking system to form an activity history of interactions by topic.

17. The computer system of claim 16, wherein the activity history of interactions includes a time spent on each interaction and an interest level in each interaction.