Collaborative-filtering contextual model based on explicit and implicit ratings for recommending items
US7590616B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 17, 2006 |
| Grant date | Sep 15, 2009 |
| Priority date | — |
| Expiry date | Jun 30, 2027 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99945
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus for a recommendation system based on collaborative filtering is provided. Explicit and implicit ratings of items by network users are used to create a contextual model. The explicit ratings comprise different rating types regarding different item attributes. The implicit ratings comprise different rating types derived from different user events and may include recency, intensity, or frequency ratings. The contextual model may be optimized for a specific objective function, such as click-through-rate or conversion rate. In other embodiments, item information is used to produce a content model where item information for an item is encoded as metadata into a document that represents the item. The contextual or content model is used to recommend one or more items to a current user. The basic unit of the recommendation system may be an item set of two or more items or a particular sequence of two or more items.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.