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» A Spamicity Approach to Web Spam Detection
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SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
13 years 6 months ago
A Spamicity Approach to Web Spam Detection
Web spam, which refers to any deliberate actions bringing to selected web pages an unjustifiable favorable relevance or importance, is one of the major obstacles for high quality ...
Bin Zhou 0002, Jian Pei, ZhaoHui Tang
WWW
2008
ACM
14 years 5 months ago
Improving web spam detection with re-extracted features
Web spam detection has become one of the top challenges for the Internet search industry. Instead of using some heuristic rules, we propose a feature re-extraction strategy to opt...
Guanggang Geng, Chunheng Wang, Qiudan Li
SIGIR
2012
ACM
11 years 7 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 ...
Chao Wei, Yiqun Liu, Min Zhang, Shaoping Ma, Liyun...
ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 3 months ago
Graph regularization methods for Web spam detection
We present an algorithm, witch, that learns to detect spam hosts or pages on the Web. Unlike most other approaches, it simultaneously exploits the structure of the Web graph as wel...
Jacob Abernethy, Olivier Chapelle, Carlos Castillo
AIRWEB
2008
Springer
13 years 6 months ago
Web spam identification through content and hyperlinks
We present an algorithm, witch, that learns to detect spam hosts or pages on the Web. Unlike most other approaches, it simultaneously exploits the structure of the Web graph as we...
Jacob Abernethy, Olivier Chapelle, Carlos Castillo