News feed ranking model based on social information of viewer
US9582786B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 29, 2011 |
| Grant date | Feb 28, 2017 |
| Priority date | — |
| Expiry date | Jun 26, 2034 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/535
- WIPO fieldDigital communication
- 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.