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Journal of Information Science and Engineering, Vol. 23 No. 2, pp. 387-401 (March 2007)

Mining Navigation Behaviors for Term Suggestion of Search Engines

Hahn-Ming Lee1, Chi-Chun Huang2 and Wei-Tang Hung3

1Department of Computer Science and Information Engineering
3Department of Electronic Engineering
National Taiwan University of Science and Technology
Taipei, 106 Taiwan
2Department of Information Management
National Kaohsiung Marine University
Kaohsiung, 811 Taiwan

Query expansion is extensively applied in information retrieval systems, such as search engines. Most conventional approaches to query expansion have been developed based on textual analysis of documents. However, different issues such as segmentation and feature selection must be addressed, which might influence performance seriously. This work focuses mainly on avoiding the above problems of textual analysis and thus proposes a collaborative method of applying access logs in the search engines to term suggestion (i.e., query expansion). A co-clicked behavior-based term suggestion is presented to suggest user-oriented terms. Analyzing the co-clicked behaviors of users in the access logs for term suggestion eliminates the need to perform textual analysis and provides some positive characteristics that previous approaches neglected, such as content independent, adaptability, and extensibility. Furthermore, limitations of current search engines, including problems of word mismatch and partial match, can also be overcome. Here, a search engine prototype is also developed to demonstrate the results of term suggestion. Experimental results demonstrate that the precision rates of information retrieval systems can be improved by using the suggested terms of the proposal presented herein. The proposed term suggestion also performs better than another famous Chinese term suggestion system, namely OPENFIND.

Keywords: query expansion, term suggestion, mining navigation behaviors, access logs, search engines

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Received January 10, 2005; revised April 27, 2005; accepted August 18, 2005.
Communicated by Chuen-Tsai Sun.