Query taxonomy generation for web search

Authors:
Pu-Jeng Cheng;Ching-Hsiang Tsai;Chen-Ming Hung;Lee-Feng Chien
Affiliations:
National Taiwan University, Taipei, Taiwan;National Taiwan University, Taipei, Taiwan;Institute of Information Science Academia Sinica, Taipei, Taiwan;Institute of Information Science Academia Sinica, Taipei, Taiwan
Venue:
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Year:
2006

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Abstract

We propose an approach that organizes the search-result clusters into a hierarchical structure, called a query taxonomy, from the user's perspective. The proposed approach is based on an unsupervised classification method, which uses the dynamic Web as the training corpus. With query taxonomy, users can browse relevant Web documents more conveniently and comprehensibly. Our experimental results verify the feasibility and the effectiveness of the proposed approach to query taxonomy generation in Web search.