A Web surfer model incorporating topic continuity

@article{Pal2005AWS,
  title={A Web surfer model incorporating topic continuity},
  author={Sankar K. Pal and B. Lakshmi Narayan and Soumitra Dutta},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2005},
  volume={17},
  pages={726-729}
}
This paper describes a surfer model which incorporates information about topic continuity derived from the surfer's history. Therefore, unlike earlier models, it captures the interrelationship between categorization (context) and ranking of Web documents simultaneously. The model is mathematically formulated. A scalable and convergent iterative procedure is provided for its implementation. Its different characteristic features, as obtained from the joint probability matrix, and their… CONTINUE READING
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Topic-Sensitive Pagerank: A Context-Sensitive Ranking Algorithm for Web Search

  • T. H. Haveliwala
  • IEEE Trans. Knowledge and Data Eng., vol. 15, no…
  • 2003
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