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

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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.

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