Adaptive ranking of news feed in social networking systems
US9286575B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 23, 2014 |
| Grant date | Mar 15, 2016 |
| Priority date | — |
| Expiry date | May 23, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning models are used for ranking news feed stories presented to users of a social networking system. The social networking system divides its users into different sets, for example, based on demographic characteristics of the users and generates one model for each set of users. The models are periodically retrained. The news feed ranking model may rank news feeds for a user based on information describing other users connected to the user in the social networking system. Information describing other users connected to the user includes interactions of the other users with objects associated with news feed stories. These interactions include commenting on a news feed story, liking a news feed story, or retrieving information, for example, images, videos associated with a news feed story.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.