Recommending content using discriminatively trained document similarity
US8027977B2 · kind B2 · utility
12Cited by
11References
19Claims
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Key dates
| Filing date | Jun 20, 2007 |
| Grant date | Sep 27, 2011 |
| Priority date | — |
| Expiry date | Jan 31, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/38
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A generalized discriminative training framework for reconciling the training and evaluation objectives for document similarity is provided. Prior information about document relations and non-relations, are used to discriminatively train an ensemble of document similarity classification models. This result is a model set that can be used to compute similarity between seen documents in the training sets and new documents. The measure of similarity forms the basis of recommending documents to a user as well as being able to obtain metadata information such as keywords and tags for new documents not having such information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.