Learning a document ranking using a loss function with a rank pair or a query parameter
US7593934B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 28, 2006 |
| Grant date | Sep 22, 2009 |
| Priority date | — |
| Expiry date | Oct 28, 2026 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99939
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for generating a ranking function to rank the relevance of documents to a query is provided. The ranking system learns a ranking function from training data that includes queries, resultant documents, and relevance of each document to its query. The ranking system learns a ranking function using the training data by weighting incorrect rankings of relevant documents more heavily than the incorrect rankings of not relevant documents so that more emphasis is placed on correctly ranking relevant documents. The ranking system may also learn a ranking function using the training data by normalizing the contribution of each query to the ranking function so that it is independent of the number of relevant documents of each query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.