Web Intelligence, IEEE / WIC / ACM International Conference on (2005)
Compi?gne University of Technology, France
Sept. 19, 2005 to Sept. 22, 2005
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2005.138
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.
web clustering, evaluation
P. Andreae, X. Gao and D. Crabtree, "Standardized Evaluation Method for Web Clustering Results," Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence(WI), Compiegne, France, 2005, pp. 280-283.