RANKING OF NEWS FEED IN A MOBILE DEVICE BASED ON LOCAL SIGNALS

• US 20170351675A1
• Filed: 06/02/2016
• Published: 12/07/2017
• Est. Priority Date: 06/02/2016
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Marra, Christopher John, Sourov, Alexander A., Petrescu, Alexandru, Ahmed, Syed Shahbaz, Backstrom, Lars Seren
• Granted Patent: US 10,643,148 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/9038 Presentation of query results
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 3/14 Digital output to display device ; Cooperation and interconnection of the display device with other functional units
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G09G 2350/00 Solving problems of bandwidth in display systems
• CPC Class Codes: G09G 2370/022 Centralised management of display operation, e.g. in a server instead of locally
• CPC Class Codes: G09G 2370/20 Details of the management of multiple sources of image data

Abstract

A mobile device receives ranked news feed stories from a server of a social networking system. The mobile device determines whether to adjust the ranking based on local information generated by applications executing on the mobile device or hardware of the mobile device. Examples of local information of the mobile device include information describing the mobile devices'"'"' network connection, geographical location, sensor readings, downloaded data on memory storage, and interactions of software applications executing on the mobile device. For example, if a network co-processor of a mobile device detects a slow network connection, the mobile device lowers the ranking of news feed stories expected to require further use of network bandwidth.

Claims

1. A computer-implemented method comprising:

receiving, by a mobile device, a plurality of news feed stories, each story of the plurality of news feed stories having a ranking score determined by a social networking system;

receiving, from a network coprocessor of the mobile device, information describing a strength of a network connection of the mobile device;

determining whether to modify the ranking score of at least one story of the plurality of news feed stories based on the strength of the network connection and an attribute associated with the at least one story;

modifying the ranking score of the at least one story based on the determination; and

displaying, on the mobile device, information describing the plurality of news feed stories based on the modified ranking score.

2. The method of claim 1, wherein receiving, by the mobile device, the plurality of news feed stories comprises:

receiving one or more news feed stories from a server of the social networking system;

receiving one or more news feed stories stored in a hardware memory storage of the mobile device; and

combining the one or more news feed stories obtained from the server of the social networking system with the one or more news feed stored in the hardware memory storage of the mobile device to obtain the plurality of news feed stories.

3. The method of claim 1, wherein the attribute associated with the at least one story represents a measure of the size of data of the at least one story.

4. The method of claim 1, wherein the attribute associated with the at least one story describes the type of multimedia included in the at least one story.

5. A computer-implemented method comprising:

receiving, by a mobile device, a plurality of news feed stories, each story of the plurality of news feed stories having a ranking score determined by a social networking system;

receiving, from the mobile device, information generated by a hardware of the mobile device;

determining whether to modify the ranking score of at least one story of the plurality of news feed stories based on the information generated by the hardware of the mobile device and an attribute associated with the at least one story;

modifying the ranking score of the at least one story based on the determination; and

displaying, on a display of the mobile device, information describing the plurality of news feed stories based on the modified ranking score.

6. The method of claim 5 further comprising training a model configured to modify the ranking score of news feed stories, the training utilizing training data sets obtained from the mobile device, wherein features used for the model comprise information generated by the hardware of the mobile device, wherein determining whether to modify the ranking score of at least one story of the plurality of news feed stories is further based on the trained model.

7. The method of claim 6, wherein the model is periodically retrained at a rate determined based on interactions performed by the user on the mobile device.

8. The method of claim 5, wherein the hardware is a first hardware, the method further comprising:

receiving, from the mobile device, information generated by a second hardware of the mobile device;

wherein determining whether to modify the ranking score of the at least one story of the plurality of news feed stories is further based on a weighted average of values associated with the information generated by the first hardware and the information generated by the second hardware.

9. The method of claim 5, wherein receiving, from the mobile device, the information generated by the hardware of the mobile device comprises receiving, from a global positioning system (GPS) coprocessor, information describing a geographical location of the mobile device, wherein modifying the ranking score of the at least one story comprises increasing the ranking score of the at least one story responsive to determining that the at least one story is associated with the geographical location of the mobile device.

10. The method of claim 5, wherein receiving, from the mobile device, the information generated by the hardware of the mobile device comprises receiving, from memory storage hardware of the mobile device, information describing a data downloaded to the memory storage hardware, wherein the data downloaded to the memory storage hardware is a portion of a content item associated with the at least one story.

11. The method of claim 10, wherein modifying the ranking score of the at least one story comprises increasing the ranking score of the at least one story responsive to determining that a download of the content item associated with the at least one news feed story is completed.

12. The method of claim 5, wherein receiving, from the mobile device, the information generated by the hardware of the mobile device comprises receiving, from a hardware sensor, information describing a sensor reading of the mobile device.

13. The method of claim 12, wherein the hardware sensor is an ambient light sensor and the sensor reading describes the ambient lighting conditions surrounding the mobile device, and wherein determining whether to modify the ranking score of the at least one story of the plurality of news feed stories is further based on the ambient lighting conditions.

14. The method of claim 12, wherein the hardware sensor is an accelerometer and the sensor reading describes one or more axis of acceleration of the mobile device, and wherein determining whether to modify the ranking score of the at least one story of the plurality of news feed stories is further based on the one or more axis of acceleration.

15. The method of claim 12, wherein the hardware sensor is a gyroscope and the sensor reading describes one or more axis of rotation of the mobile device, and wherein determining whether to modify the ranking score of the at least one story of the plurality of news feed stories is further based on the one or more axis of rotation.

16. The method of claim 12, wherein the hardware sensor is a microphone and the sensor reading describes audio data recorded by the mobile device, and wherein determining whether to modify the ranking score of the at least one story of the plurality of news feed stories is further based on the audio data.

17. The method of claim 12, wherein the hardware sensor is a camera and the sensor reading describes a photo taken by the mobile device, and wherein determining whether to modify the ranking score of the at least one story of the plurality of news feed stories is further based on the photo.

18. A computer-implemented method comprising:

receiving, by a mobile device, a plurality of news feed stories, each story of the plurality of news feed stories having a ranking score determined by a social networking system;

receiving, from the mobile device, information generated by a third party software application running on the mobile device, the third party software application located outside the domain of the social networking system;

determining whether to modify the ranking score of at least one story of the plurality of news feed stories based on the information generated by the third party software application and an attribute associated with the at least one story;

modifying the ranking of the at least one story based on the determination; and

displaying on the mobile device, information describing the plurality of news feed stories based on the modified ranking.

19. The method of claim 18 further comprising training a model configured to modify the ranking score of news feed stories, the training utilizing training data sets obtained from the mobile device, wherein features used for the model comprise information generated by the third party software application running on the mobile device, wherein determining whether to modify the ranking score of at least one story of the plurality of news feed stories is further based on the trained model.

20. The method of claim 19, wherein the model is periodically retrained at a rate determined based on interactions performed by the user on the mobile device.