Personalized recommendations on dynamic content
US9600581B2 · kind B2 · utility
3Cited by
9References
12Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Feb 19, 2009 |
| Grant date | Mar 21, 2017 |
| Priority date | — |
| Expiry date | Mar 7, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9535
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure describes systems and methods for selecting and/or ranking web-based content predicted to have the greatest interest to individual users. In particular, articles are ranked in terms of predicted interest for different users. This is done by optimizing an interest model and in particular through a method of bilinear regression and Bayesian optimization. The interest model is populated with data regarding users, the articles, and historical interest trends that types of users have expressed towards types of articles.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.