Training a search result ranker with automatically-generated samples
US8060456B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 1, 2008 |
| Grant date | Nov 15, 2011 |
| Priority date | — |
| Expiry date | Jun 19, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/24578
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A search result ranker may be trained with automatically-generated samples. In an example embodiment, user interests are inferred from user interactions with search results for a particular query so as to determine respective relevance scores associated with respective query-identifier pairs of the search results. Query-identifier-relevance score triplets are formulated from the respective relevance scores associated with the respective query-identifier pairs. The query-identifier-relevance score triplets are submitted as training samples to a search result ranker. The search result ranker is trained as a learning machine with multiple training samples of the query-identifier-relevance score triplets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.