Web mining based on user access patterns for web personalization

@article{Xiaogang2009WebMB,
  title={Web mining based on user access patterns for web personalization},
  author={Wang Xiao-gang and Li Yue},
  journal={2009 ISECS International Colloquium on Computing, Communication, Control, and Management},
  year={2009},
  volume={1},
  pages={194-197}
}
It is usually necessary to model users' web access behavior to provide intelligent personalized online services such as web recommendations. One of the promising approaches is web usage mining, which mines web logs for user models and recommendations. Different from most web recommender systems that are mainly based on clustering and association rule mining, this paper proposes an web personalization system that uses sequential access pattern mining. In the proposed system an efficient… CONTINUE READING

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