Supplementing a trained model using incremental data in making item recommendations
US8326777B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2009 |
| Grant date | Dec 4, 2012 |
| Priority date | — |
| Expiry date | Oct 5, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Incremental training data is used to supplement a trained model to provide personalized recommendations for a user. The personalized recommendations can be made by taking into account the user's behavior, such as, without limitation, the user's short and long term web page interactions, to identify item recommendations. A trained model is generated from training data indicative of the web page interaction data collected from a plurality of users. Incremental training data indicative of other web page interaction data can be used to supplement the trained model, or in place of the trained model. Incremental training data can be indicative of user behavior collected more recently than the data used to train the model, for example.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.