Using Machine Learning to Enhance Software Tools for Internet Information Management

Claire Louise Green, Peter Edwards

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Downloads (Pure)

Abstract

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
Pages48-55
VolumeWS-96-06
Publication statusPublished - 1996

Keywords

  • machine learning
  • user agent
  • information filtering

Fingerprint Dive into the research topics of 'Using Machine Learning to Enhance Software Tools for Internet Information Management'. Together they form a unique fingerprint.

Cite this