Cluster-based identification of news stories
US9116995B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 29, 2012 |
| Grant date | Aug 25, 2015 |
| Priority date | — |
| Expiry date | Dec 4, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9538
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and techniques for cluster-based content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend news stories about events or occurrences. In some embodiments, a news story about an event includes multiple related content items that each include an account of the event and that each reference one or more entities or categories that are represented by the CRS. In one embodiment, the CRS identifies news stories by generating clusters of related content items. Then, in response to a received query that indicates a keyterm, entity, or category, the CRS determines and provides indications of one or more news stories that are relevant to the received query. In some embodiments, at least some of these techniques are employed to implement a news story recommendation facility in an online news service.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.