Web spam classification: a few features worth more

Posted March 10, 2011
Areas : Spam Cleansing, General.

The paper entitled “Web spam classification: a few features worth more”, co-written by M. Erdélyi, A. Garzó, and A. A. Benczúr has been accepted for presentation in Joint Web Quality 2011 in conjunction with the WWW2011, Hyderabad, India, ACM Press 2011.

In this paper we investigate how much various classes of Web spam features, some requiring very high computational effort, add to the classification accuracy. We realize that advances in machine learning, an area that has received less attention in the adversarial IR community, yields more improvement than new features and result in low cost yet accurate spam filters.