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US 2002/0165860 A1Published application
Selective retrieval metasearch engine
AssigneeNEC Research Insititute, Inc.
InventorsEric Glover, Stephen R. Lawrence
Life of this patent
Estimating the term…
Abstract
A selective retrieval metasearch engine uses relevance estimation and confidence computation to select documents for which additional information is to be obtained. The additional information is used to update relevance estimation for the selected documents. A selective retrieval metasearch engine improves execution time, resource usage, throughput, and/or result quality.
Claims55
A selective retrieval metasearch engine comprising:
- means for accepting a search query;
- means for sending the search query to at least one search engine and for retrieving results of the search query from the at least one search engine;
- means for estimating the relevance of each result retrieved;
- means for computing a confidence of the relevance estimation for each result retrieved;
- means for selecting results using the computed confidence of the relevance estimation;
- means for obtaining additional information about the selected results;
- means for updating the relevance estimation based on the additional information obtained for each selected result;
- means for ranking the results retrieved based on the relevance estimation of each result retrieved;
- and
- means for returning the ranked results.
7 more elements
A method of performing selective retrieval comprising the steps of:
- accepting a search query;
- sending the search query to at least one search engine and retrieving results of the search query from the at least one search engine;
- estimating the relevance of each result retrieved;
- computing a confidence of the relevance estimation for each result retrieved;
- selecting results using the computed confidence of the relevance estimation;
- obtaining additional information about the selected results;
- updating the relevance estimation based on the additional information obtained for each selected result;
- ranking the results retrieved based on the relevance estimation of each result retrieved;
- and
- returning the ranked results.
7 more elements
Dependencies are inferred from the claim text.