Content relevance in a social networking system using population-representative human rater pool
US10540627B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 4, 2015 |
| Grant date | Jan 21, 2020 |
| Priority date | — |
| Expiry date | Oct 21, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A social networking system builds a quality controlled and desired population-representative pool of human raters to provide ratings on content items to improve a feed ranking model used for providing its users with more relevant content. The system identifies a pool of candidate human raters for providing ratings on a feed of content items. For each candidate human rater of the pool of candidate human raters, the system presents a feed of content items based on a feed ranking model, obtains ratings on the feed of content items, and determines a score representing the consistency of the obtained ratings, the representativeness of the pool of human raters, or the relevance of the content provided by the ranking model. The system uses the computed scores to modify the ranking model used to present content to its users for improving the relevance of the presented content.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.