Query expansion is the area of information acquisition to resolve ambiguity in the wording of the key technologies, and widely used search engine, was a great success. However, as P2P (peer-to-peer) system is a decentralized, dynamic system, in the P2P environment for effective query expansion has certain challenges. First of all, the use of query and document relationship built LEM (local expansion method) and then query expansion method, based on the query terms and documents directly related to, put forward the HEM (history_based expansion method) methods of query expansion. On this basis, we proposed a query expansion based on a hybrid P2P search algorithm environment. Experiment and analysis results show that query expansion and its search algorithm can greatly improve the search results.

混合P2P环境下有效的查询扩展及其搜索算法.pdf

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