Clustering Web Surfers with Probabilistic Models in a Real Application

  • Authors:
  • Yang Liu;Xiangji Huang;Aijun An;Gary Promhouse

  • Affiliations:
  • York University, Toronto, Canada;York University, Toronto, Canada;York University, Toronto, Canada;Open Text Corporation, Waterloo, Canada

  • Venue:
  • WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
  • Year:
  • 2004

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Abstract

The problem of modeling and predicting a Web surfer's browsing patterns has gained increasing attention in recent years. In this paper we present our experience in clustering Web surfers using a mixture of Markov models with a real application of Livelink log data. We propose different techniques to improve the clustering performance, and evaluate the techniques through experiments.