Inferring Web communities from link topology
Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems
Improved algorithms for topic distillation in a hyperlinked environment
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
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WWW '99 Proceedings of the eighth international conference on World Wide Web
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
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Hyperlink Analysis for the Web
IEEE Internet Computing
Mining the Web's Link Structure
Computer
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DS '99 Proceedings of the Second International Conference on Discovery Science
Discovery of Web Communities Based on the Co-Occurence of References
DS '00 Proceedings of the Third International Conference on Discovery Science
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COCOON'99 Proceedings of the 5th annual international conference on Computing and combinatorics
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Recommendation of representative Web pages of specific topic is important for assisting users' information retrieval from the Web. This paper describes a method for discovering such pages by purifying Web communities using connectivity information of hyperlinks. A complete bipartite of Web graph, which is composed of centers (containing useful information regarding a topic) and fans (containing hyperlinks to centers), can be regarded as a Web community sharing a common interest. The method is based on the assumption that most of the fans contain hyperlinks pointing to representative pages regarding the topic. In the method, both fans and centers are renewed iteratively by the result of the majority vote of the members of previous community. Experimental results show that our method has abilities of finding representative pages for some topics only from a few input URLs.