User Behavior Oriented Web Spam Detection

摘要：

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 recently-appeared spam. With user behavior analyses into Web access logs, we propose a spam page detection algorithm based on Bayes learning. Preliminary experiments on Web access data collected by a commercial Web site (containing over 2.74 billion user clicks in 2 months) show the effectiveness of the proposed detection framework and algorithm.

关键词： Spam detection Web search engine User behavior analysis

作者: Yiqun Liu Min Zhang Shaoping Ma Liyun Ru

作者单位: State Key Lab of Intelligent technology & systems,Tsinghua National Laboratory for Information Science and Technology,CS&T Department, Tsinghua University, Beijing, 100084, China P.R.

会议类型: 国际会议

会议名称: 第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）