智能信息检索课程第8讲

《智能信息检索》课程第八讲---“链接分析技术和网页排名欺诈”
由中国人民大学信息学院联合微软亚洲研究院于2008年春季学期开设《智能信息检索》课程将于4月10日进行第八讲，微软亚洲研究院主任研究员刘铁岩博士将为大家带来题为“链接分析技术和网页排名欺诈”的学术报告。

时间：2008年4月10日（周四）晚6：00~7：30
地点：信息学院四层
题目：链接分析技术和网页排名欺诈
Link Analysis and Anti Web Spam
演讲人：微软亚洲研究院研究员刘铁岩博士
演讲人履历：
Tie-Y an Liu
Lead Researcher
Tie-Yan Liu is a lead researcher at Microsoft Research Asia. His current research interests include learning to rank for information retrieval, infrastructure and algorithm s for large-scale graph mining. Dr. Liu has published more than 60 papers in referred international conferences and journals, including SIGIR(6), WWW(3), KDD(2), ICML, IEEE TKDE, etc. He has over 30 filed US / international patents or pending applications. He is the winner of the Most Cited Paper Award for the Journal of Visual Communication and Image Representation. He has served on the program committees for more than 20 international conferences, such as WWW, SIGIR, ACL, ICML, ICDM, and ICIP. He is the co-chair of the SIGIR 2007 workshop on learning to rank for information retrieval (LR4IR 2007), and a Senior Program Committee member (formerly Area Coordinator) of SIGIR 2008. Prior to joining Microsoft, Dr. Liu obtained his Ph.D. from Tsinghua University in 2003, where his research efforts were devoted to video content analysis.
/users/tyliu/
演讲摘要：
This talk mainly discusses how hyperlinks influence the ranking of webpages in a search engine.
First, two famous link analysis algorithms, PageRank and HITS, will be introduced. Then, discussions will be given in terms of their limitations and the possible improvements, and introductions will be given to some recent work on link analysis, such as topical PageRank, Level-based Link Analysis. In the meanwhile, we will also introduce how web spammers hack these link analysis algorithms to boost their websites in the ranking results of search engines. Typical spamming techniques include link exchange, link farm, etc. To detect and remove such spam from search engine index, algorithms like TrustRank and Temporal Spam Detector have been proposed, which will be introduced and commented at the end of the talk.。