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A client‐side Web agent for document categorization

Daniel Boley (Assistant Professor, Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA)
Maria Gini (Professor, Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA)
Kyle Hastings (Cryptologic Officer in the US Navy)
Bamshad Mobasher (Assistant Professor of Computer Science, De Paul University, Chicago, USA)
Jerry Moore (Jerry Moore is with the Minneapolis Star‐Tribune)

Internet Research

ISSN: 1066-2243

Article publication date: 1 December 1998

385

Abstract

The authors propose a client‐side agent for exploring and categorizing documents on the World Wide Web. As the user browses the Web using a usual Web browser, this agent is designed to aid the user by classifying the documents the user finds most interesting into clusters. The agent carries out the task completely automatically and autonomously, with as little user intervention as the user desires. The principal novel components in this agent that make it possible are a scalable hierarchical clustering algorithm and a taxonomic label generator. In this paper, the overall architecture of this agent is described and the details of the algorithms within its key components are discussed.

Keywords

Citation

Boley, D., Gini, M., Hastings, K., Mobasher, B. and Moore, J. (1998), "A client‐side Web agent for document categorization", Internet Research, Vol. 8 No. 5, pp. 387-399. https://doi.org/10.1108/10662249810241257

Publisher

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MCB UP Ltd

Copyright © 1998, MCB UP Limited

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