A learning agent for wireless news access

  • Authors:
  • Daniel Billsus;Michael J. Pazzani;James Chen

  • Affiliations:
  • Department of Information and Computer Science, University of California, Irvine, Irvine, CA;Department of Information and Computer Science, University of California, Irvine, Irvine, CA;Department of Information and Computer Science, University of California, Irvine, Irvine, CA

  • Venue:
  • Proceedings of the 5th international conference on Intelligent user interfaces
  • Year:
  • 2000

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Abstract

We describe a user interface for wireless information devices, specifically designed to facilitate learning about users' individual interests in daily news stories. User feedback is collected unobtrusively to form the basis for a content-based machine learning algorithm. As a result, the described system can adapt to users' individual interests, reduce the amount of information that needs to be transmitted, and help users access relevant information with minimal effort.