Exploiting Learning Technologies for World Wide Web Agents

Peter Edwards, Claire Louise Green, P C Lockier, T C Lukins

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

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Abstract

The paper illustrates how machine learning techniques can be utilised within intelligent software agents which assist users with the management of Web-based information. The authors discuss a number of recent activities within the Learning Agents & Systems group at Aberdeen, namely: a generic Web browsing assistant; an agent which constructs personalised travel brochures; the application of clustering techniques to Web browser histories; and multi-agent support for adaptive user querying.
Original languageEnglish
Title of host publicationIEE Colloquium on Intelligent World Wide Web Agents (Digest No.: 1997/118)
PublisherIET
Pages3/1 - 3/7
DOIs
Publication statusPublished - 1997

Keywords

  • user agents
  • machine learning
  • user-profiling
  • clustering
  • world wide web

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    Edwards, P., Green, C. L., Lockier, P. C., & Lukins, T. C. (1997). Exploiting Learning Technologies for World Wide Web Agents. In IEE Colloquium on Intelligent World Wide Web Agents (Digest No.: 1997/118) (pp. 3/1 - 3/7). IET. https://doi.org/10.1049/ic:19970644