Recommending content information based on user behavior
US9400995B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 15, 2014 |
| Grant date | Jul 26, 2016 |
| Priority date | — |
| Expiry date | Aug 15, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0282
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Content recommendation includes: determining a plurality of user behavior categories pertaining to a plurality of user behaviors by a plurality of users within a period of time, and a plurality of user behavior frequencies corresponding to the plurality of user behavior categories; determining whether the number of user behavior categories exceeds a preset category threshold; in the event that the number of user behavior categories exceeds the preset threshold, excluding one or more user behavior categories such that the number of remaining user behavior categories does not exceed the preset threshold; determining, based at least on the remaining user behavior categories and corresponding user behavior frequencies, user preference data comprising frequency distribution information of a plurality of pieces of content information targeted by user behaviors in the remaining user behavior categories; and recommending content information to a user based on the user preference data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.