Methods and Systems for Recommending Applications

• US 20160188671A1
• Filed: 12/29/2014
• Published: 06/30/2016
• Est. Priority Date: 12/29/2014
• Status: Abandoned Application

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Barbosa de Oliveira Medeiros, Victor, Gupta, Vishu
• Application Number:
  US14/585,004
• Publication Number:
  US 20160188671A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24565 Triggers; Constraints
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: H04L 51/214 using selective forwarding
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/21 for social networking applications
• CPC Class Codes: H04W 4/50 Service provisioning or reconfiguring

Abstract

In an electronic device having one or more processors and memory storing instructions for execution by the one or more processors, a trigger event for a user of a social-networking service is detected. Based at least in part on detecting the trigger event for the user of the social-networking service, a recommendation of an application to be run on a client device of the user is provided.

Claims

1. A method, comprising:

at an electronic device having one or more processors and memory storing instructions for execution by the one or more processors;

based at least in part on detecting a trigger event for a user of a social-networking service, providing a recommendation of an application to be run on a client device of the user.

2. The method of claim 1, wherein the recommendation comprises a recommendation to install the application on the client device.

3. The method of claim 1, wherein:

the electronic device comprises a server system associated with the social-networking service;

detecting the trigger event comprises receiving an indication of the trigger event from the client device; and

providing the recommendation comprises sending the recommendation to the client device for display.

4. The method of claim 1, wherein the application is a video game.

5. The method of claim 1, wherein the trigger event comprises repetitive user activity on the social-networking service.

6. The method of claim 5, wherein the repetitive user activity comprises at least one of:

refreshing a content feed of the social-networking service a specified number of times within a specified time period; and

viewing a content item a specified number of times within a specified time period, the content item having been provided to the user through the social-networking service.

7. The method of claim 1, wherein detecting the trigger event comprises determining that a content item posted by the user to the social-networking service includes an indication of potential user interest in the application.

8. The method of claim 1, wherein detecting the trigger event comprises detecting a check-in operation performed on the client device to indicate a location of the client device to the social-networking service, the location being associated with a likelihood of the user being idle.

9. The method of claim 8, wherein:

the location is an airport, train station, bus station, shopping mall, medical office, or governmental office; and

the application is a video game.

10. The method of claim 1, wherein:

detecting the trigger event comprises identifying a location of the client device as being associated with a likelihood of subsequent loss of network connectivity by the client device; and

providing the recommendation comprises recommending an application that does not require network connectivity.

11. The method of claim 1, wherein:

detecting the trigger event comprises determining a location of the client device;

the providing is based further on a determination that one or more contacts of the user in the social-networking service are also present at the location; and

the application is a multi-user application.

12. The method of claim 1, wherein the trigger event is associated with use, on the client device, of an application that is independent of the social-networking service.

13. The method of claim 1, wherein providing the recommendation is performed based further on a determination that network connectivity for the client device satisfies a criterion.

14. The method of claim 1, wherein providing the recommendation is performed based further on a determination that movement of the client device satisfies a criterion.

15. The method of claim 1, further comprising selecting the application for recommendation to the user, from among a plurality of applications, based at least in part on one or more of:

a profile of the user in the social-networking service; and

a popularity of the application in the social-networking service.

16. The method of claim 1, further comprising selecting the application for recommendation to the user, from among a plurality of applications, based at least in part on the trigger event.

17. The method of claim 1, wherein providing the recommendation is performed based further on an activity level of the user with respect to using applications.

18. The method of claim 1, further comprising, before providing the recommendation:

monitoring activity of the user in the social-networking service; and

applying machine learning to the monitored activity to determine the trigger event.

19. An electronic device, comprising:

one or more processors; and

memory storing one or more programs for execution by the one or more processors, the one or more programs including instructions for providing a recommendation of an application to be installed or run on a client device of a user of a social-networking service, based at least in part on detection of a trigger event for the user.

20. A non-transitory computer-readable storage medium storing one or more programs for execution by one or more processors, the one or more programs including instructions for providing a recommendation of an application to be installed or run on a client device of a user of a social-networking service, based at least in part on detection of a trigger event for the user.