Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering Approach

  • Authors:
  • Shui-Lung Chuang;Lee-Feng Chien

  • Affiliations:
  • -;-

  • Venue:
  • ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
  • Year:
  • 2002

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Abstract

Previous works on automatic query clustering most generatea flat, un-nested partition of query terms. In this work,we are pursuing to organize query terms into a hierarchicalstructure and construct a query taxonomy in an automaticway. The proposed approach is designed based on a hierarchicalagglomerative clustering algorithm to hierarchicallygroup similar queries and generate the cluster hierarchiesby a novel cluster partition technique. The search processesof real-world search engines are combined to obtain highlyranked Web documents as the feature source for each queryterm. Preliminary experiments show that the proposed approachis effective to obtain thesaurus information for queryterms, and is also feasible to construct a query taxonomywhich provides a basis for in-depth analysis of users' searchinterests and domain-specific vocabulary on a larger scale.