关键词: 局部上下文分析, 用户查询日志, 查询扩展, 过滤

Abstract: The traditional local context analysis approach has the limitation of the high dependence on initial search results. To solve this problem, this paper gets the users’ most interested articles through statistical analysis and filtration of the user query logs, to replace the initial N articles, as the source of the query expansion words. The relevance between the query words and the articles’ words is counted using the local context analysis approach. The experiments show that this method has effectively improved the precision of the query.

Key words: local context analysis, user query log, query expansion, filtration