An adaptive algorithm for learning changes in user interests Conference Paper uri icon

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.

name of conference

  • Proceedings of the eighth international conference on Information and knowledge management

published proceedings

  • PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON INFORMATION KNOWLEDGE MANAGEMENT, CIKM'99

altmetric score

  • 3

author list (cited authors)

  • Widyantoro, D. H., Ioerger, T. R., & Yen, J.

citation count

  • 66

complete list of authors

  • Widyantoro, DH||Ioerger, TR||Yen, J

publication date

  • January 1999