System and method for recommending items of interest to a user
US7987182B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2006 |
| Grant date | Jul 26, 2011 |
| Priority date | — |
| Expiry date | May 13, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0631
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A embodiment is disclosed for learning user interests based on user actions and then applying the learned knowledge to rank, recommend, and/or filter items, such as e-mail spam, based on the level of interest to a user. The embodiment may be used for automated personalized information learning, recommendation, and/or filtering systems in applications such as television programming, web-based auctions, targeted advertising, and electronic mail filtering. The embodiment may be structured to generate item descriptions, learn items of interest, learn terms that effectively describe the items, cluster similar items in a compact data structure, and then use the structure to rank new offerings.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.