Method and apparatus for machine learning a document relevance function
US7197497B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 25, 2003 |
| Grant date | Mar 27, 2007 |
| Priority date | — |
| Expiry date | Apr 16, 2024 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99937
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is a method and computer program product for determining a document relevance function for estimating a relevance score of a document in a database with respect to a query. For each of a plurality of test queries, a respective set of result documents is collected. For each test query, a subset of the documents in the respective result set is selected, and a set of training relevance scores is assigned to documents in the subset. In one embodiment, at least some of the training relevance scores are assigned by human subjects who determine individual relevance scores for submitted documents with respect to the corresponding queries. Finally, a relevance function is determined based on the plurality of test queries, the subsets of documents, and the sets of training relevance scores.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.