Query expansion based on local classification analysis
基于局部类别分析的查询扩展

To solve the problem that local analysis for query expansion gets low precision in information retrieval,a new method was proposed.It analyzed the top-ranked documents retrieved for an original query,and inferred the possible classifications related to the query,then utilized co-occurrence with the query terms in the related classifications to expand the query.Experimental results indicate that the new method costs less retrieval time and gets higher precision compared with traditional methods such as global analysis and local analysis.