Selective Markov models for predicting Web page accesses

@article{Deshpande2001SelectiveMM,
  title={Selective Markov models for predicting Web page accesses},
  author={Mukund Deshpande and George Karypis},
  journal={ACM Trans. Internet Techn.},
  year={2001},
  volume={4},
  pages={163-184}
}
The problem of predicting a user's behavior on a Web site has gained importance due to the rapid growth of the World Wide Web and the need to personalize and influence a user's browsing experience. Markov models and their variations have been found to be well suited for addressing this problem. Of the different variations of Markov models, it is generally found that higher-order Markov models display high predictive accuracies on Web sessions that they can predict. However, higher-order models… CONTINUE READING
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Knowledge discovery and data mining cup part of SIGKDD 2000

  • Ronny Kohavi, Carla Brodley
  • In http://www.ecn.purdue.edu/KDDCUP/,
  • 2000
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