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Data mining techniques for improving search engine relevanceUS2006224579A1
Data mining techniques for improving search engine relevanceUS2006224579A1
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机译：改善搜索引擎相关性的数据挖掘技术[US2006224579A1]
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摘要
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., ail 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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