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2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)
Standardized Evaluation Method for Web Clustering Results
Compi?gne University of Technology, France
September 19-September 22
ISBN: 0-7695-2415-X
Daniel Crabtree, Victoria University of Wellington
Xiaoying Gao, Victoria University of Wellington
Peter Andreae, Victoria University of Wellington
Web clustering assists users of a search engine by presenting search results as clusters of related pages. Many clustering algorithms with different characteristics have been developed: but the lack of a standardized web clustering evaluation method that can evaluate clusterings with different characteristics has prevented effective comparison of algorithms. The paper solves this by introducing a new structure for defining general ideal clusterings and new measurements for evaluating clusterings with different characteristics by comparing them against the general ideal clustering.
Index Terms:
web clustering, evaluation
Citation:
Daniel Crabtree, Xiaoying Gao, Peter Andreae, "Standardized Evaluation Method for Web Clustering Results," wi, pp.280-283, 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005
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