Graph regularization methods for Web spam detection

Jacob Abernethy

doi:10.1007/s10994-010-5171-1

Graph regularization methods for Web spam detection

2010-03-25

35

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AI

DOI：10.1007/s10994-010-5171-1

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Abstract

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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.

Keywords:

Adversarial information retrieval

Spam detection

Web spam

Graph regularization

Graph regularization methods for Web spam detection

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