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Mining Interest Navigation Patterns Based on Hybrid Markov Model

  • Yijun Yu
  • Huaizhong Lin
  • Yimin Yu
  • Chun Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4027)

Abstract

Each user accesses a Website with certain interest. The interest is associated with his navigation patterns. The interest navigation patterns represent different interest of the users. In this paper, hybrid Markov model is proposed for interest navigation pattern discovery. The novel model is better in prediction overlay rate and prediction correct rate than traditional Markov models. User group interest is also defined in this paper. The probability of user group interest navigation from one page to another is computed by navigation path characteristics and time characteristics. Compared with the previous ones, the results of the experiment show that the performance is improved efficiently by the hybrid Markov model.

Keywords

Markov Model User Group User Access Output Symbol Path Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yijun Yu
    • 1
  • Huaizhong Lin
    • 1
  • Yimin Yu
    • 1
  • Chun Chen
    • 1
  1. 1.Computer InstituteZhejiang UniversityHangzhouChina

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