Machine learning in adversarial environments
Machine Learning
Image classification using the web graph
Proceedings of the international conference on Multimedia
Foundations and Trends in Information Retrieval
Survey on web spam detection: principles and algorithms
ACM SIGKDD Explorations Newsletter
Automatic seed set expansion for trust propagation based anti-spam algorithms
Information Sciences: an International Journal
Russian web spam evolution: yandex experience
Proceedings of the 22nd international conference on World Wide Web companion
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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.