Experience with Learning Agents which Manage Internet-Based Information

Peter Edwards, David Bayer, Claire Louise Green, T R Payne

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

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Abstract

To provide assistance with tasks such as retrieving USENET news articles or identifying interesting Web pages, an intelligent agent requires information about a user’s interests and needs. Machine learning techniques are now being used to acquire this information. A general architecture is presented, and two approaches to learning through observation are described. An instantiation of the architecture is then evaluated.
Original languageEnglish
Title of host publicationProceedings of AAAI 1996 Stanford Spring Symposium on Machine Learning in Information Access
EditorsMarti A Hearst, Haym Hirsh
Place of PublicationMenlo Park, CA
PublisherAAAI Press
Pages31-40
VolumeSS-96-05
Publication statusPublished - 1996

Keywords

  • user agents
  • user profiling
  • machine learning
  • USENET
  • Web

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  • Cite this

    Edwards, P., Bayer, D., Green, C. L., & Payne, T. R. (1996). Experience with Learning Agents which Manage Internet-Based Information. In M. A. Hearst, & H. Hirsh (Eds.), Proceedings of AAAI 1996 Stanford Spring Symposium on Machine Learning in Information Access (Vol. SS-96-05, pp. 31-40). AAAI Press. http://www.aaai.org/Papers/Symposia/Spring/1996/SS-96-05/SS96-05-005.pdf