WWW2006 - PageSim: A Novel Link-based Measure of Web Page Similarity
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PageSim: A Novel Link-based Measure of Web Page Similarity

  • Zhenjiang Lin, The Chinese University of Hong Kong, Hong Kong
  • Michael R. Lyu, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong
  • Irwin King, The Chinese University of Hong Kong, Hong Kong

Full text:

Track: Posters

Finding similar web pages to a query page is a crucial task for a search engine, and a variety of similarity measures have been proposed for this task in the past few years. In this paper, we propose a novel link-based similarity measure, called PageSim. A simple example, in which PageSim is compared with SimRank, was presented in the last of this paper. This example shows that the performance of our method is competitive.

Citation

Lin, Z., Lyu, M. R., and King, I. 2006. PageSim: a novel link-based measure of web page aimilarity. In Proceedings of the 15th International Conference on World Wide Web (Edinburgh, Scotland, May 23 - 26, 2006). WWW '06. ACM Press, New York, NY, 1019-1020.
DOI= http://doi.acm.org/10.1145/1135777.1135994

Other items being presented by these speakers

  • Large-Scale Text Categorization by Batch Mode Active Learning (Data Mining Track)
  • Time-Dependent Semantic Similarity Measure of Queries Using Historical Click-Through Data (Data Mining Track)
  • Bilingual Web Page and Site Readability Assessment (Posters Track)
  • A User Profile-based Approach for Personal Information Access: Shaping Your Information Portfolio (Posters Track)

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