Social context for applications

Patent metadata

Field	Value
Publication number	US-9680789-B2
Application number	US-201514843717-A
Country	US
Kind code	B2
Filing date	Sep 2, 2015
Priority date	Feb 26, 2013
Publication date	Jun 13, 2017
Grant date	Jun 13, 2017

Abstract

In one embodiment, a method includes identifying one or more first users of the social-networking system that are connected to a second user within the social-networking system; inferring one or more applications of interest to the second user based at least in part on information associated with one or more applications installed on one or more client systems of the first users; generating one or more recommendations corresponding to one or more of the applications of interest to the second user; ranking the recommendations based on social-graph information of the second user relative to the one or more first users; and sending one or more of the ranked recommendations to one or more client devices of the second user.

First claim

What is claimed is:

1. A method comprising:
by a computing device, identifying one or more first users of the social-networking system that are connected to a second user within the social-networking system;
by the computing device, inferring one or more applications of interest to the second user based at least in part on information associated with one or more applications installed on one or more client devices of the first users;
by the computing device, generating one or more recommendations corresponding to one or more of the applications of interest to the second user;
by the computing device, ranking the recommendations based on social-graph information of the second user relative to the one or more first users, wherein at least one of the recommendations is more heavily weighted based on a number of uses of the application corresponding to that recommendation over a pre-determined period of time by one or more of the first users; and
by the computing device, sending one or more of the ranked recommendations to one or more client devices of the second user.

2. The method of claim 1 , wherein:
the social-networking system comprises a graph that comprises a plurality of nodes and edges connecting the nodes;
for each of the first users at least one node in the graph corresponding to the first user;
at least one node in the graph corresponding to the second user; and
at least one of the nodes corresponding to one of the first users and at least one of the nodes corresponding to the second user being connected to each other by one or more edges.

3. The method of claim 2 , wherein the social-graph information comprises a proximity of one or more of the nodes corresponding relative to the first users to the node corresponding to the second user.

4. The method of claim 1 , wherein the sending of the ranked recommendations is in response to detecting the second user is interacting with a platform configured to distribute applications.

5. The method of claim 4 , wherein the social-graph information comprises information of installation activity of the first users on the platform.

6. The method of claim 1 , wherein one or more of the ranked recommendations comprises identifying information corresponding to one or more of the first users.

7. The method of claim 1 , wherein one or more of the application recommendations comprise an indication of a number of the first users that have installed one or more of the applications of interest.

8. The method of claim 1 , wherein one or more of the application recommendations comprise an interactive element corresponding to a particular application of interest and a badge indicating a number of the first users that have used the particular application of interest.

9. The method of claim 1 , wherein the inferring of the one or more applications of interest to the second user is based at least in part on determining one or more applications on the client device of the first users that are not installed on the client device of the second user.

10. The method of claim 1 , wherein the ranked recommendations are dynamically aggregated as a newsfeed.

11. The method of claim 1 , wherein the ranked recommendations are periodically updated.

12. One or more computer-readable non-transitory storage media embodying software configured when executed to:
identify one or more first users of the social-networking system that are connected to a second user within the social-networking system;
infer one or more applications of interest to the second user based at least in part on information associated with one or more applications installed on one or more client devices of the first users;
generate one or more recommendations corresponding to one or more of the applications of interest to the second user;
rank the recommendations based on social-graph information of the second user relative to the one or more first users, wherein at least one of the recommendations is more heavily weighted based on a number of uses of the application corresponding to that recommendation over a pre-determined period of time by one or more of the first users; and
send one or more of the ranked recommendations to one or more client devices of the second user.

13. The media of claim 12 , wherein:
the social-networking system comprises a graph that comprises a plurality of nodes and edges connecting the nodes;
for each of the first users at least one node in the graph corresponding to the first user;
at least one node in the graph corresponding to the second user; and
at least one of the nodes corresponding to one of the first users and at least one of the nodes corresponding to the second user being connected to each other by one or more edges.

14. The media of claim 13 , wherein the social-graph information comprises a proximity of one or more of the nodes corresponding to the first users relative to the node corresponding to the second user.

15. A device comprising:
one or more processors; and
one or more computer-readable non-transitory storage media coupled to the processors and embodying software configured when executed to:
identify one or more first users of the social-networking system that are connected to a second user within the social-networking system;
infer one or more applications of interest to the second user based at least in part on information associated with one or more applications installed on one or more client systems of the first users;
generate one or more recommendations corresponding to one or more of the applications of interest to the second user;
rank the recommendations based on social-graph information of the second user relative to the one or more first users, wherein at least one of the recommendations is more heavily weighted based on a number of uses of the application corresponding to that recommendation over a pre-determined period of time by one or more of the first users; and
send one or more of the ranked recommendations to one or more client devices of the second user.

16. The device of claim 15 , wherein:
the social-networking system comprises a graph that comprises a plurality of nodes and edges connecting the nodes;
for each of the first users at least one node in the graph corresponding to the first user;
at least one node in the graph corresponding to the second user; and
at least one of the nodes corresponding to one of the first users and at least one of the nodes corresponding to the second user being connected to each other by one or more edges.

17. The device of claim 16 , wherein the social-graph information comprises a proximity of one or more of the nodes corresponding to the first users relative to the node corresponding to the second user.

Assignees

• Facebook Inc

Inventors

• Murarka Neel Ishwar
• Fung Philip
• Chandrasekaran Raghavendar

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• H04L67/22

  Electricity · mapped topic

• H04L51/32 Primary

  Electricity · mapped topic

• G06Q50/01

  Physics · mapped topic

• G06F17/3053

  Physics · mapped topic