Determining user preference of items based on user ratings and user features
US8301624B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2009 |
| Grant date | Oct 30, 2012 |
| Priority date | — |
| Expiry date | Feb 14, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/335
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A set of item-item affinities for a plurality of items is determined based on collaborative-filtering techniques. A set of an item's nearest neighbor items based on the set of item-item affinities is determined. A set of user feature-item affinities for the plurality of items and a set of user features is determined based on least squared regression. A set of a user feature's nearest neighbor items is determined based in part on the set of user feature-item affinities. Compatible affinity weights for nearest neighbor items of each item and each user feature are determined and stored. Based on user features of a particular user and items a particular user has consumed, a set of nearest neighbor items comprising nearest neighbor items for user features of the user and items the user has consumed are identified as a set of candidate items, and affinity scores of candidate items are determined. Based at least in part on the affinity scores, a candidate item from the set of candidate items is recommended to the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.