HyPursuit
Published 1 January 1996Open access
Ron J. Weiss, Bienvenido Vélez, Mark A. Sheldon
Citations209
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TL;DR
Experience with HyPursuit suggests that abstraction functions based on hypertext clustering can be used to construct meaningful and scalable cluster hierarchies, and is encouraged by preliminary results on clustering based on both document contents and hyperlink structures.
Abstract
HyPursuit is a new hierarchical network search engine that clusters hypertext documents to structure a given information space for browsing and search act ivities. Our content-link clustering algorithm is based on the semantic information embedded in hyperlink structures and document contents. HyPursuit admits multiple, coexisting cluster hierarchies based on different principles for grouping documents, such as the Library of Congress catalog scheme and automatically created hypertext clusters.
Keywords
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