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2012
ACM

Fighting against web spam: a novel propagation method based on click-through data

7 years 1 months ago
Fighting against web spam: a novel propagation method based on click-through data
Combating Web spam is one of the greatest challenges for Web search engines. State-of-the-art anti-spam techniques focus mainly on detecting varieties of spam strategies, such as content spamming and link-based spamming. Although these anti-spam approaches have had much success, they encounter problems when fighting against a continuous barrage of new types of spamming techniques. We attempt to solve the problem from a new perspective, by noticing that queries that are more likely to lead to spam pages/sites have the following characteristics: 1) they are popular or reflect heavy demands for search engine users and 2) there are usually few key resources or authoritative results for them. From these observations, we propose a novel method that is based on click-through data analysis by propagating the spamicity score iteratively between queries and URLs from a few seed pages/sites. Once we obtain the seed pages/sites, we use the link structure of the click-through bipartite graph to di...
Chao Wei, Yiqun Liu, Min Zhang, Shaoping Ma, Liyun
Added 28 Sep 2012
Updated 28 Sep 2012
Type Journal
Year 2012
Where SIGIR
Authors Chao Wei, Yiqun Liu, Min Zhang, Shaoping Ma, Liyun Ru, Kuo Zhang
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