Adaptive algorithm for learning changes in user interests

Dwi H. Widyantoro, Thomas R. Ioerger, John Yen

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

66 Scopus citations

Abstract

In this paper, we describe a new scheme to learn dynamic users' interests in an automated information filtering and gathering system running on the Internet. Our scheme is aimed to handle multiple domains of long-term and short-term user's interests simultaneously, which is learned through positive and negative user's relevance feedback. We developed a 3-descriptor approach to represent the user's interest categories. Using a learning algorithm derived for this representation, our scheme adapts quickly to significant changes in user interest, and is also able to learn exceptions to interest categories.

Original languageEnglish (US)
Title of host publicationInternational Conference on Information and Knowledge Management, Proceedings
PublisherACM
Pages405-412
Number of pages8
ISBN (Print)1581131461, 9781581131468
DOIs
StatePublished - 1999
EventProceedings of the 1999 8th International Conference on Information Knowledge Management (CIKM'99) - Kansas City, MO, USA
Duration: Nov 2 1999Nov 6 1999

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

OtherProceedings of the 1999 8th International Conference on Information Knowledge Management (CIKM'99)
CityKansas City, MO, USA
Period11/2/9911/6/99

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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