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论文类型： 会议论文

发表时间： 2015-06-08

收录刊物： EI、CPCI-S、SCIE、Scopus

卷号： 9098

页面范围： 452-456

关键字： Web spam; Community discovery; Differential trust propagation

摘要： In this paper, we propose a novel differential trust propagation scheme with community discovery, which can be applied to all kinds of trust propagation algorithms. We first use a random walk-based community discovery algorithm to preselect suspicious communities in which the members are almost spam pages. We then utilize these suspicious communities to limit the across-community-boundary trust propagation. Experimental results on WEBSPAM-UK2007 and ClueWeb09 demonstrate that the proposed penalizing scheme significantly improves the performance of trust propagation algorithms such as TrustRank, LCRank, CPV.