Identifying web spam with user behavior analysis

  title={Identifying web spam with user behavior analysis},
  author={Yiqun Liu and Rongwei Cen and Min Zhang and Shaoping Ma and Liyun Ru},
Combating Web spam has become one of the top challenges for Web search engines. State-of-the-art spam detection techniques are usually designed for specific known types of Web spam and are incapable and inefficient for newly-appeared spam. With user behavior analyses into Web access logs, we propose a spam page detection algorithm based on Bayesian Learning. The main contributions of our work are: (1) User visiting patterns of spam pages are studied and three user behavior features are proposed… CONTINUE READING
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