Using Machine Learning to Enhance Software Tools for Internet Information Management

Claire Louise Green, Peter Edwards

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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This paper discusses the issues involved in the application of machine learning techniques to the management of Internet-based information. We present a general architecture, and describe how this has been instantiated in several different applications. The first three of these systems provide assistance to a user sorting incoming mail, reading USENET news or identifying World-Wide Web pages of interest; the final system constructs a personalised on-line newspaper, assembled from documents gathered by a Web robot. A number of machine learning techniques have been used in the construction of these systems; some comparative results are presented.
Original languageEnglish
Title of host publicationProceedings of the AAAI-96 Workshop on Internet-Based Information Systems
EditorsAlexander Franz, Hiroaki Kitano
Place of PublicationMenlo Park, CA
PublisherAAAI Press
Publication statusPublished - 1996


  • machine learning
  • user agent
  • information filtering


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