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Belief Revision for Adaptive Recommender Agents in E-commerce

  • Raymond Y. K. Lau
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2690)

Abstract

Recommender systems are a well-known technology for E-commerce. This paper illustrates a novel recommender agent model which combines the inductive power brought by text mining methods with the non-monotonic reasoning capability offered by a belief revision system to improve the agents’ prediction effectiveness, learning autonomy, and explanatory capabilities.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Raymond Y. K. Lau
    • 1
  1. 1.Centre for Information Technology InnovationQueensland University of TechnologyBrisbaneAustralia

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