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Journal of Information Science and Engineering, Vol. 23 No. 2, pp. 617-627 (March 2007)

Association Thesaurus Construction for Interactive Query Expansion Based on Association Rule Mining

Hahn-Ming Lee1, Chi-Chun Huang2 and Chun-Yen Chao3
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

This paper presents an interactive query expansion method with association thesaurus, which is mined from the °•selected web pages°¶ of users in the query logs. The °•selected web pages°¶ of users are transferred into °•sets of query terms°¶ and then used for term correlation mining. Accordingly, various association thesauruses concerning different query terms are constructed from these term correlations. Consequently, the proposed method combines the original query term specified by a user with the corresponding thesaurus to offer the user more precise results. The query expansion mechanism is implemented within the Query Agent of a course recommendation system, Coursebot. Experimental results have shown that the performance, precision ratio and recall ratio, of the system is increased when the proposed method is applied.

Keywords: association thesaurus construction, interactive query expansion, association rule mining, user feedback, Coursebot

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Received January 10, 2005; accepted March 31, 2005.
Communicated by Chin-Teng Lin.