Apparatus for selecting documents in response to a plurality of inquiries by a plurality of clients by estimating the relevance of documents
US7743062B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 30, 2007 |
| Grant date | Jun 22, 2010 |
| Priority date | — |
| Expiry date | Dec 17, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/334
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method implemented by a computer for performing query based electronic document retrieval implementing a Markov process model adapted for determining a relationship or relevance between documents. The system ranks documents for retrieval based on their relevance measure. The model calculates the measure of relevance that a document from a given database is relevant to a given query. The method learns the Markov models mixture coefficients from the document database so as to maximize the relevance measure of the documents being retrieved. The method requires only that a similarity measure, D(d,d′), between two documents be specified. Any existing method may be used for generating a model that is at least as good as the chosen similarity measure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.