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...

• Type: Journal
• Year: 2012
• Where: SIGIR
• Authors: Chao Wei, Yiqun Liu, Min Zhang, Shaoping Ma, Liyun Ru, Kuo Zhang
• Keywords: Information Systems Applications, Information Technology, Label Propagation, SIGIR 2012, Web Search Engines