Aggregating social networking system user information for display via stories

• US 10,083,239 B2
• Filed: 03/10/2017
• Issued: 09/25/2018
• Est. Priority Date: 09/21/2011
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Yung, Raylene Kay, Schafer, Daniel, Zhang, Li, Piantino, Serkan, Gubin, Maxim
• Primary Examiner(s): Hong, Stephen
• Assistant Examiner(s): Vaughn, Gregory
• Application Number:
  US15/456,397
• Publication Number:
  US 20170193120A1
• Time in Patent Office: 564 Days
• CPC Class Codes: G06F 16/24578 using ranking
• 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: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• CPC Class Codes: G06F 40/103 Formatting, i.e. changing of presentation of documents automatic justification G06F40/189; automatic line break hyphenation G06F40/191
• CPC Class Codes: G06F 40/106 Display of layout of documents; Previewing
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

To generate stories for presentation to social networking system users, one or more story generation engines receives a set of actions of social networking system users. Various story generation engines output stories of different types that collect particular types of actions and arrange the actions in a specified format for presentation. The story generators may avoid selecting the same actions for different stories. Stories generated by the various story generators may be ranked and the ranking used to select stories for presentation to one or more social networking system users.

Claims

1. A method comprising:

determining one or more story generators for a viewing user of a social networking system;

accessing a plurality of narrative data items comprising data stored within the social networking system related to the viewing user or a user connected to the viewing user in the social networking system;

selecting one or more of the narrative data items based on a relevance of each of the narrative data items to the viewing user;

generating a plurality of candidate stories from the narrative data items using the one or more story generators, each of the plurality of candidate stories being associated with a story type of a plurality of story types, where two or more candidate stories of the plurality of candidate stories are associated with a same narrative data item;

identifying the two or more candidate stories that are associated with the same narrative data item;

responsive to the identifying, removing a subset of the two or more candidate stories from the plurality of candidate stories;

selecting one or more of the plurality of candidate stories as selected stories for the viewing user; and

sending a displayable representation of the selected stories to a client device for display to the viewing user.

2. The method of claim 1, wherein each candidate story comprises story metadata and one or more references to one or more narrative data items, the story metadata comprising information describing visual presentation of a displayable representation of a candidate story.

3. The method of claim 1, wherein a narrative data item comprises logged actions of the viewing user or one or more other users connected to the viewing user in the social networking system.

4. The method of claim 3, further comprising logging actions taken by users of a social networking system.

5. The method of claim 1, wherein a narrative data item comprises descriptive information of the viewing user or one or more other users connected to the viewing user in the social networking system.

6. The method of claim 1, wherein selecting one or more of the narrative data items based on a relevance of each of the narrative data items to the viewing user comprises:

determining a type of narrative data item associated with the requested view;

identifying narrative data items having the type of narrative data item associated with the requested view; and

selecting narrative data items from the identified narrative data items based at least in part on the relevance of each of the identified narrative data items to the viewing user.

7. The method of claim 1, further comprising:

removing candidate stories associated with narrative data items previously viewed by the viewing user.

8. The method of claim 1, further comprising:

removing candidate stories associated with narrative data items that the viewing user does not have permission to view.

9. The method of claim 1, further comprising:

generating an affinity for each of the plurality of candidate stories, wherein each affinity comprises a measure of the relevance of a candidate story of the plurality of candidate stories to the viewing user; and

generating a ranking of the plurality of candidate stories based on the affinity generated for each the plurality of stories, wherein selecting one or more of the plurality of candidate stories is based on the ranking.

10. The method of claim 9, wherein selecting one or more of the plurality of candidate stories based on the ranking comprises:

modifying the ranking by decreasing a position in the ranking of a candidate story having a story type associated with at least a threshold number of stories having at least a threshold position in the ranking;

selecting one or more of the candidate stories based on the modified ranking.

11. A non-transitory computer readable storage medium comprising instructions which when executed by a processor cause the processor to perform the steps of:

determining one or more story generators for a viewing user of a social networking system;

accessing a plurality of narrative data items comprising data stored within the social networking system related to the viewing user or a user connected to the viewing user in the social networking system

selecting one or more of the narrative data items based on a relevance of each of the narrative data items to the viewing user;

generating a plurality of candidate stories from the narrative data items using the one or more story generators, each of the plurality of candidate stories being associated with a story type of a plurality of story types, where two or more candidate stories of the plurality of candidate stories are associated with a same narrative data item;

identifying the two or more candidate stories that are associated with the same narrative data item;

responsive to the identifying, removing a subset of the two or more candidate stories from the plurality of candidate stories;

selecting one or more of the plurality of candidate stories as selected stories for the viewing user; and

sending a displayable representation of the selected stories to a client device for display to the viewing user.

12. The non-transitory computer readable storage medium of claim 11, wherein each candidate story comprises story metadata and one or more references to one or more narrative data items, the story metadata comprising information describing visual presentation of a displayable representation of a candidate story.

13. The non-transitory computer readable storage medium of claim 11, wherein a narrative data item comprises logged actions of the viewing user or one or more other users connected to the viewing user in the social networking system.

14. The non-transitory computer readable storage medium of claim 13, further comprising instructions that cause the processor to log actions taken by users of a social networking system.

15. The non-transitory computer readable storage medium of claim 11, wherein a narrative data item comprises descriptive information of the viewing user or one or more other users connected to the viewing user in the social networking system.

16. The non-transitory computer readable storage medium of claim 11, wherein selecting one or more of the narrative data items based on a relevance of each of the narrative data items to the viewing user comprises:

determining a type of narrative data item associated with the requested view;

identifying narrative data items having the type of narrative data item associated with the requested view; and

selecting narrative data items from the identified narrative data items based at least in part on the relevance of each of the identified narrative data items to the viewing user.

17. The non-transitory computer readable storage medium of claim 11, further comprising instructions which when executed by the processor cause the processor to perform the steps of:

removing candidate stories associated with narrative data items previously viewed by the viewing user.

18. The non-transitory computer readable storage medium of claim 11, further comprising instructions which when executed by the processor cause the processor to remove candidate stories associated with narrative data items that the viewing user does not have permission to view.

19. The non-transitory computer readable storage medium of claim 11, further comprising instructions which when executed by the processor cause the processor to perform the steps of:

generating an affinity for each of the plurality of candidate stories, wherein each affinity comprises a measure of the relevance of a candidate story of the plurality of candidate stories to the viewing user; and

generating a ranking of the plurality of candidate stories based on the affinity generated for each the plurality of stories, wherein selecting one or more of the plurality of candidate stories is based on the ranking.

20. The non-transitory computer readable storage medium of claim 11, wherein selecting one or more of the plurality of candidate stories based on the ranking comprises:

modifying the ranking by decreasing a position in the ranking of a candidate story having a story type associated with at least a threshold number of stories having at least a threshold position in the ranking;

selecting one or more of the candidate stories based on the modified ranking.