Social Plugin Reordering on Applications

• US 20170161281A1
• Filed: 12/08/2015
• Published: 06/08/2017
• Est. Priority Date: 12/08/2015
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Bhartia, Varun Vikram, Hamilton, Todd Michael, Hansi, Raman Kaur, Jindle, Yugal
• Granted Patent: US 10,681,169 B2
• Time in Patent Office: Days
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

In one embodiment, a method includes receiving a request from an application installed on a client system for one or more interactive elements associated with a respective platform for sharing content to a website associated with the platform, wherein the request includes a user identifier and a content identifier; calculating a ranking score for each of a plurality of interactive elements based on profile information associated with the user identifier; and sending to the application a personalized set of the interactive elements, each of the interactive elements in the personalized set having a ranking score above a threshold value.

Claims

1. A method comprising:

by a computer server machine, receiving a request from an application installed on a client system for one or more interactive elements each associated with a respective platform for sharing content to a website associated with the platform, wherein the request includes a user identifier and a content identifier;

by the computer server machine, calculating a ranking score for each of a plurality of interactive elements based on profile information associated with the user identifier; and

by the computer server machine, sending to the application a personalized set of the interactive elements, each of the interactive elements in the personalized set having a ranking score above a threshold value.

2. The method of claim 1, wherein the profile information comprises information from a social graph of a social-networking system, the social graph comprising a plurality of edges and nodes connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, the nodes comprising:

a first node corresponding to a user identified by the user identifier; and

a plurality of other nodes that each correspond to concepts or users associated with the social-networking system.

3. The method of claim 1, wherein the profile information comprises an engagement level of a user identified by the user identifier with each of the one or more platforms.

4. The method of claim 1, wherein the profile information comprises a location associated with a user identified by the user identifier.

5. The method of claim 1, wherein the profile information comprises demographic information associated with a user identified by the user identifier.

6. The method of claim 1, wherein the profile information comprises information received from the application about previous interactions with other content on the application, the previous interactions having been performed by a user identified by the user identifier.

7. The method of claim 1, wherein the profile information comprises information stored on one or more devices associated with a user identified by the user identifier.

8. The method of claim 1, wherein each of the ranking scores is further based on information associated with one or more connections of a user identified by the user identifier, wherein each of the connections previously interacted with content corresponding to the content identifier.

9. The method of claim 1, wherein at least one of the ranking scores is further based on one or more content types associated with the content identifier, the one or more types being one or more media formats.

10. The method of claim 1, wherein at least one of the ranking scores is further based on information associated with a publisher of the content.

11. The method of claim 1, wherein one of the ranking scores is further based on an analysis of the content to determine one or more topics associated with the content, the ranking score being based on a correlation between one or more of the determined topics and the website associated with the platform associated with the interactive element corresponding to the ranking score.

12. The method of claim 11, wherein the analysis of the content comprises:

extracting one or more n-grams from text associated with the content; and

determining one or more of the topics associated with the content based on the extracted one or more n-grams.

13. The method of claim 11, wherein the analysis of the content comprises:

identifying one or more multimedia objects embedded in the content; and

determining one or more of the topics associated with the content based on the identified multimedia objects.

14. The method of claim 1, further comprising:

sending to the application, together with the personalized set of the interactive elements, additional information related to the content.

15. The method of claim 14, wherein the additional information comprises a total number of interactions with the content, further comprising:

retrieving, from the platform, the total number of interactions with the content.

16. The method of claim 2, further comprising:

sending to the application, together with the personalized set of the interactive elements, additional social-networking information related to the content.

17. The method of claim 16, wherein the additional social-networking information comprises a visual representation of one or more selected social connections of the user, the one or more selected social connections being selected by:

identifying one or more social connections of the user by querying the social graph for first-degree connections of the user, wherein the first-degree connections are social connections having a single degree of separation from the user;

determining one or more of the identified social connections who have interacted with the content;

calculating a social-relevance score for each of the one or more determined social connections based on a measure of previous social interactions between the determined social connection and the user; and

selecting one or more of the determined social connections having a social-relevance score greater than a threshold value.

18. The method of claim 1, further comprising:

receiving a user input, wherein the user input comprises an interaction with an interactive element; and

in response to the user input, sharing the content on the associated platform.

19. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

receive a request from an application installed on a client system for one or more interactive elements each associated with a respective platform for sharing content to a website associated with the platform, wherein the request includes a user identifier and a content identifier;

calculate a ranking score for each of a plurality of interactive elements based on profile information associated with the user identifier; and

send to the application a personalized set of the interactive elements, each of the interactive elements in the personalized set having a ranking score above a threshold value.

20. A system comprising:

one or more processors; and

a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to;

receive a request from an application installed on a client system for one or more interactive elements each associated with a respective platform for sharing content to a website associated with the platform, wherein the request includes a user identifier and a content identifier;

calculate a ranking score for each of a plurality of interactive elements based on profile information associated with the user identifier; and

send to the application a personalized set of the interactive elements, each of the interactive elements in the personalized set having a ranking score above a threshold value.