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Computer Networks and ISDN Systems
Volume 30, Issues 1-7, April 1998, Pages 317-326
Proceedings of the Seventh International World Wide Web Conference
 
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doi:10.1016/S0169-7552(98)00038-5    How to Cite or Link Using DOI (Opens New Window)
Copyright © 1998 Published by Elsevier B.V.

The shark-search algorithm. An application: tailored Web site mapping

Michael Hersovicia, Michal JacoviCorresponding Author Contact Information, a, Corresponding Author Contact Information, E-mail The Corresponding Author, Yoelle S. Maareka, Dan Pellegb, Menachem Shtalhaima and Sigalit Ura

a IBM Haifa Research Laboratory, MATAM, Haifa 31905, Israel b Department of Computer Science, Technion, Haifa, Israel

Available online 17 June 1999.

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Abstract

This paper introduces the “shark search” algorithm, a refined version of one of the first dynamic Web search algorithms, the “fish search”. The shark-search has been embodied into a dynamic Web site mapping that enables users to tailor Web maps to their interests. Preliminary experiments show significant improvements over the original fish-search algorithm.

Author Keywords: Dynamic search; Site mapping; Resource discovery

Article Outline

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Computer Networks and ISDN Systems
Volume 30, Issues 1-7, April 1998, Pages 317-326
Proceedings of the Seventh International World Wide Web Conference
 
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