| 基于文档空间向量距离的查询扩展 |
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| 引用本文： | 王秀娟,郑康锋.基于文档空间向量距离的查询扩展[J].计算机工程,2009,35(18):54-56. |
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| 作者姓名： | 王秀娟 郑康锋 |
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| 作者单位： | 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 |
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| 基金项目： | 北京工业大学博士科研启动基金资助项目 |
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| 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。
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| 关 键 词： | 信息检索 查询扩展 互信息 向量距离 |
| 修稿时间： | |
Query Expansion Based on Vector Distance in Documents Space |
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| WANG Xiu-juan,ZHENG Kang-feng.Query Expansion Based on Vector Distance in Documents Space[J].Computer Engineering,2009,35(18):54-56. |
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| Authors: | WANG Xiu-juan ZHENG Kang-feng |
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| Affiliation: | 1.College of Computer Sciences;Beijing University of Technology;Beijing 100124;2.School of Information Engineering;Beijing University of Posts and Telecommunications;Beijing 100876 |
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| 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. |
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| Keywords: | information retrieval query expansion mutual information vector distance |
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