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A Query Expansion Method Based on Semantic Element

Qing Gao

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Abstract

Query Expansion technology can reduce word mismatch between query and related documents,improve retrieval result through adding similar or related terms to original query.In the algorithm proposed in this paper,terms or phrases which have closely related sense are added to the original query and express users' query intention more precisely.This algorithm costs O(L)time which is independent of the SER-Base,and this is very practical for highly real-time search engine.

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What this paper is about

Query Expansion technology can reduce word mismatch between query and related documents,improve retrieval result through adding similar or related terms to original query.In the algorithm proposed in this paper,terms or phrases which have closely related sense are added to the original query and express users' query intention more precisely.This algorithm costs O(L)time which is independent of the SER-Base,and this is very practical for highly real-time search engine.

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Available abstract

Query Expansion technology can reduce word mismatch between query and related documents,improve retrieval result through adding similar or related terms to original query.In the algorithm proposed in this paper,terms or phrases which have closely related sense are added to the original query and express users' query intention more precisely.This algorithm costs O(L)time which is independent of the SER-Base,and this is very practical for highly real-time search engine.

Key concepts: Computer science, Query expansion, Query optimization, Sargable, Web search query, Information retrieval, Web query classification, Query language

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