Let web spammers expose themselves

Proceedings of the 4th ACM International Conference on Web Search and Data Mining, WSDM 2011

Volumn , Issue , 2011, Pages 525-534

  Cheng, Zhicong ^a   Gao, Bin ^b   Sun, Congkai ^c   Jiang, Yanbing ^a   Liu, Tie Yan ^b  

^a PEKING UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

^c University of Southern California   (United States)

Author keywords

Anti spam; Forum mining; Semi supervised learning

Indexed keywords

ANTI-SPAM; FORUM MINING; LINK PATTERNS; LINK STRUCTURE; NON-TRIVIAL; QUALITY SERVICES; SEARCH ENGINE OPTIMIZATIONS; SEMI-SUPERVISED LEARNING; SPAMMERS; WEB GRAPHS;

DATA MINING; INFORMATION RETRIEVAL; SEARCH ENGINES; SUPERVISED LEARNING; WEBSITES;

INTERNET;

EID: 79952369095     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1935826.1935902     Document Type: Conference Paper

References (20)

1. R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. Addison Wesley, ISBN-13: 978-0201398298, May 1999.
2. A. A. Benczur, K. Csalogany, T. Sarlos, and M. Uher. SpamRank - fully automatic link spam detection. In AIRWeb'05, 2005.
3. Y. Chung, M. Toyoda, and M. Kitsuregawa. A Study of Link Farm Distribution and Evolution using a Time Series of Web Snapshots. In AIRWeb'09, 2009.
4. N. Dai, B. D. Davison, and X. Qi. Looking into the Past to Better Classify Web Spam. In AIRWeb'09, 2009.
5. B. D. Davison. Recognizing nepotistic links on the web. In AAAI-2000 Workshop on Artificial Intelligence for Web Search, 2000.
6. D Fetterly, M. Manasse, and M. Najork. Detecting phrase-level duplication on the World Wide Web. In SIGIR'05, 2005.
7. D. Fetterly, M. Manasse, and M. Najork. Spam, Damn Spam, and Statistics. In the 7th International Workshop on the Web and Databases, 2004.
8. Z. Gyongyi and H. Garcia-Molina. Web Spam Taxonomy. Technical report, Stanford Digital Library Technologies Project, 2004.
9. Z. Gyongyi, H. Garcia-Molina, and J. Pedersen. Combating Web spam with TrustRank. In VLDB '04, 2004.
10. G. Jeh and J. Widom. SimRank: A Measure of Structural-Context Similarity. In the proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD, 2002.
11. K. Lee, J. Caverlee, and S. Webb. Uncovering Social Spammers: Social Honeypots + Machine Learning. In SIGIR'10, 2010.
12. D.D. Lewis. Evaluating Text Categorization. In the Proceedings of Speech and Natural Language Workshop, 1991.
13. J. Ma, L. K. Saul, S. Savage, and G. M. Voelker. Beyond Blacklists: Learning to Detect Malicious Web Sites from Suspicious URLs. In the proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD, 2009.
14. A. Ntoulas, M. Najork, M. Manasse, and D. Fetterly. Detecting spam web pages through content analysis. In the proceedings of the 15th International World Wide Web Conference WWW, 2006.
15. B. Wu and B. D. Davison. Identifying link farm spam pages. In the proceedings of the 14th International World Wide Web Conference WWW, 2005.
16. D. Zhou, J. Huang and B. Scholkopf. Learning from Labeled and Unlabeled Data on a Directed Graph. In ICML'05, 2005.
17. http://airweb.ese.lehigh.edu/
18. http://svmlight.joachims.org/
19. http://www.seobook.com/
20. http://www.yr-bcn. es/webspam/datasets/uk2007/