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AIRWEB
2008
Springer

Web spam identification through content and hyperlinks

14 years 1 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 well as page contents and features. The method is efficient, scalable, and provides state-of-the-art accuracy on a standard Web spam benchmark. Categories and Subject Descriptors H.4.m [Information Systems Applications]: Miscellaneous; I.2.6 [Learning]; I.5 [Pattern Recognition] Keywords Web spam, graph regularization, Support Vector Machines
Jacob Abernethy, Olivier Chapelle, Carlos Castillo
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where AIRWEB
Authors Jacob Abernethy, Olivier Chapelle, Carlos Castillo
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