What question did this study set out to answer?

The aim is to develop a search engine that improves document retrieval through structured clustering of hypertext content.

January 1, 1996Open Access

HyPursuit

Key Points

The aim is to develop a search engine that improves document retrieval through structured clustering of hypertext content.
Developed a hierarchical network search engine called HyPursuit.
Implemented a clustering algorithm relying on semantic information from hyperlinks and document content.
Established multiple clustering hierarchies based on varying grouping principles.
HyPursuit effectively clusters hypertext documents, enhancing information retrieval.
Demonstrated improved browsing experience compared to traditional methods.
Facilitated the creation of coexisting cluster hierarchies.

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.

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