Learning retrieval functions incorporating query differentiation for information retrieval
US8250061B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2006 |
| Grant date | Aug 21, 2012 |
| Priority date | — |
| Expiry date | Sep 27, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/3347
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The system and method of the present invention allows for the determination of the relevance of a content item to a query through the use of a machine learned relevance function that incorporate query differentiation. A method for selecting a relevance function to determine a relevance of a query-content item pair comprises generating a training set comprising one or more content item-query pairs. Content item-query pairs in the training set are collectively used to determine the relevance function by minimizing a loss function according to a relevance score adjustment function that accounts for query differentiation. The monotocity of relevance score adjustment function allows the trained relevance function to be directly applied to new queries.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.