Learning latent semantic space for ranking
US8239334B2 · kind B2 · utility
4Cited by
3References
20Claims
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Key dates
| Filing date | Dec 24, 2008 |
| Grant date | Aug 7, 2012 |
| Priority date | — |
| Expiry date | Mar 5, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A tool facilitating learning latent semantics for ranking (LLSR) tailored to the ranking task via leveraging relevance information of query-document pairs to learn a tailored latent semantic space such that other documents are better ranked for the queries in the subspace. The tool applying a learning latent semantics for ranking algorithm integrating LLSR, thereby enabling learning an optimal latent semantic space (LSS) for ranking by utilizing relevance information in the training process of subspace learning. The tool enabling an optimization of the LSS as a closed form solution and facilitating reporting the learned LSS.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.