Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure
Abstract
The problem of fnding similar pages to a given web page arises in many web applications such as search engine. In this paper, we focus on the link-based similarity measures which compute web page similarity solely from the hyperlinks of the Web. We first propose a simple model called the Extended Neighborhood Structure (ENS), which defines a bi-directional (in-link and out-link) and multi-hop neighborhood structure. Based on the ENS model, several existing similarity measures are extended. Preliminary experimental results show that the accuracy of the extended algorithms are signifcantly improved.
Authors: Zhenjiang Lin, Michael Rung-Tsong Lyu, Irwin King
Published in: IEEE/WIC/ACM International Conference on Web Intelligence (2007)