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38

ML
2010
ACM

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Graph regularization methods for Web spam detection

13 years 9 months ago

Graph regularization methods for Web spam detection

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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.

Jacob Abernethy, Olivier Chapelle, Carlos Castillo

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Machine Learning | ML 2010 | Spam Hosts | Web Graph | Web Spam Benchmark |

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Added	29 Jan 2011
Updated	29 Jan 2011
Type	Journal
Year	2010
Where	ML
Authors	Jacob Abernethy, Olivier Chapelle, Carlos Castillo

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