Query Expansion Based on Query Log and Small World Characteristic

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• 作者：Yujuan Cao ; Xueping Peng ; Zhao Kun ; Zhendong Niu ; Gx Xu ; et al.
• 关键词：Query expansion ; query log analysis ; small world characteristic ; mutual information
• 刊名：Lecture Notes in Computer Science
• 出版年：2009
• 出版时间：2009
• 年：2009
• 卷：5802
• 期：1
• 页码：573-580
• 全文大小：218.7 KB

文摘

Automatic query expansion is an effective way to solve the word mismatching and short query problems. This paper presents a novel approach to Expand Queries Based on User log and Small world characteristic of the document (QEBUS). When the query is submitted, the synonymic concept of the query is gotten by searching a synonymic concept dictionary. Then the query log is explored and the key words are extracted from the user clicked documents based on small world network (SWN) characteristic. By analyzing the semantic network of the document based on SWN and exploring the correlations between the key words and the queries based on mutual information, high-quality expansion terms can be gotten. The experiment results show that our technique outperforms some traditional query expansion methods significantly.