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计算机工程 ›› 2009, Vol. 35 ›› Issue (18): 54-56. doi: 10.3969/j.issn.1000-3428.2009.18.019

• 软件技术与数据库 • 上一篇    下一篇

基于文档空间向量距离的查询扩展

王秀娟1,郑康锋2   

  1. (1. 北京工业大学计算机学院,北京 100124;2. 北京邮电大学信息工程学院,北京 100876)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-09-20 发布日期:2009-09-20

Query Expansion Based on Vector Distance in Documents Space

WANG Xiu-juan1, ZHENG Kang-feng2   

  1. (1. College of Computer Sciences, Beijing University of Technology, Beijing 100124; 2. School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-09-20 Published:2009-09-20

摘要: 查询扩展是信息检索中优化查询的一种有效方法。在分析几种基于互信息的查询扩展方法的基础上,将检索词在文档空间中的距离引入到互信息计算中,提出基于向量距离的改进互信息的查询扩展方法。实验结果表明,该方法能够有效提高信息检索中的查询效果。

关键词: 信息检索, 查询扩展, 互信息, 向量距离

Abstract: Query expansion is an effective method to the queries in information retrieval. After analyzing several methods of query expansion based on mutual information, this paper introduces the vector distance between terms in documents space to the improvement of mutual information and brings forward a query expansion method based on vector distance in documents space. Experimental results show that the method can effectively improve the performance in information retrieval.

Key words: information retrieval, query expansion, mutual information, vector distance

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