Data mining techniques for improving search engine relevance
First Claim
1. An automated information retrieval system, comprising:
- a learning component that analyzes stored information retrieval data to determine relevance patterns from past information search activities; and
a search component that employs the learning component to determine a subset of current search results based at least in part on the relevance patterns.
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Abstract
The subject invention relates to systems and methods that automatically learn data relevance from past search activities and apply such learning to facilitate future search activities. In one aspect, an automated information retrieval system is provided. The system includes a learning component that analyzes stored information retrieval data to determine relevance patterns from past user information search activities. A search component employs the learning component to determine a subset of current search results based at least in part on the relevance patterns, wherein numerous variables can be processed in accordance with the learning component to efficiently generate focused, prioritized, and relevant search results.
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Citations
20 Claims
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1. An automated information retrieval system, comprising:
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a learning component that analyzes stored information retrieval data to determine relevance patterns from past information search activities; and
a search component that employs the learning component to determine a subset of current search results based at least in part on the relevance patterns. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. An automated information retrieval method, comprising:
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automatically analyzing past query data logs, the data logs include implicit and explicit user feedback;
constructing at least a first classifier from the data logs for inferring users'"'"' satisfaction of search results;
constructing at least a second classifier from the data logs and information generated from the first classifier for use inside a search engine;
automatically mapping failed queries to desired search results; and
automatically determining a subset of the search results in accordance with the classifier. - View Dependent Claims (18, 19)
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20. A system to facilitate computer retrieval operations, comprising:
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means for logging user search data that includes implicit user activity patterns;
means for building a classifier from the search data;
means for inferring users'"'"' satisfaction of search results;
means for mapping previously failed queries to desired search results;
means for training the classifier; and
means for automatically determining a subset of search results from a current search request.
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Specification