Recommending items to users utilizing a bi-linear collaborative filtering model
US8781915B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 17, 2008 |
| Grant date | Jul 15, 2014 |
| Priority date | — |
| Expiry date | May 14, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0203
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A recommender system may be used to predict a user behavior that a user will give in relation to an item. In an embodiment such predictions are used to enable items to be recommended to users. For example, products may be recommended to customers, potential friends may be recommended to users of a social networking tool, organizations may be recommended to automated users or other items may be recommended to users. In an embodiment a memory stores a data structure specifying a bi-linear collaborative filtering model of user behaviors. In the embodiment an automated inference process may be applied to the data structure in order to predict a user behavior given information about a user and information about an item. For example, the user information comprises user features as well as a unique user identifier.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.