Query Expansion Based on the Context in Chinese Information Retrieval
He Hong
Abstract
He Hong
Abstract
Term mismatch between queries and documents is a fundamental problem in Chinese Information Retrieval (IR),which affects the effectiveness of retrieval results.Query expansion in IR can deal with this kindof problem in some degree.However,experiments show that the common query expansion in IR cannot get steady retrieval results.In this paper,we propose and realize query expansion based on the context,which can choose the expansion words according to the context of the query.Experiment results with TREC 9 show that query expansion based on the context is a smarter method.Compared with the results of common query expansion,query expansion based on the context can get statistically significant improvement.
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Term mismatch between queries and documents is a fundamental problem in Chinese Information Retrieval (IR),which affects the effectiveness of retrieval results.Query expansion in IR can deal with this kindof problem in some degree.However,experiments show that the common query expansion in IR cannot get steady retrieval results.In this paper,we propose and realize query expansion based on the context,which can choose the expansion words according to the context of the query.Experiment results with TREC 9 show that query expansion based on the context is a smarter method.Compared with the results of common query expansion,query expansion based on the context can get statistically significant improvement.
Key concepts: Query expansion, Computer science, Query optimization, Information retrieval, Sargable, Context (archaeology), Web search query, Web query classification