Improving web spam classifiers using link structure

ACM International Conference Proceeding Series

Volumn 215, Issue , 2007, Pages 17-20

  Gan, Qingqing ^a   Suel, Torsten ^a  

^a POLYTECHNIC UNIVERSITY   (United States)

Author keywords

Classification; Link analy sis; Machine learning; Search engines; Web mining; Web spam detection

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; INFORMATION RETRIEVAL; LEARNING SYSTEMS; SEARCH ENGINES; WORLD WIDE WEB;

WEB MINING; WEB SPAM CLASSIFIERS; WEB SPAM DETECTION;

SPAMMING;

EID: 35549007196     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1244408.1244412     Document Type: Conference Paper

References (24)

1. E. Arnitay. D. Carmel, A. Darlow, R. Lempel, and A. So. The connectivity sonar: Detecting site functionality by structural patterns. In Proc. 14th ACM Conf. on Hypertext and Hypermedia, 2003.
2. L. Becchetti, C. Castillo, D. Donato, S. Leonardi, and R. Baeza-Yates. Link-based characterization and detection of Web Spam. In Workshop on Advera. Inf. Retrieval on the Web, Aug. 2006.
3. A. Benczur, K. Csalogany, T. Sarlos, and M. Uher. Spamrank - fully automatic link spam detection. In Workshop on Advers. Inf. Retrieval on the Web, 2005.
4. A. Benczúr, K. C. T., and Sarlós. Link-based similarity search to fight web spam. In Workshop on Advers. Inf. Retrieval on the Web, 2006.
5. C. Castillo, D. Donato, A. Gionis, V. Murdock, and F. Silvestri. Know your neighbors: Web spam detection using the web topology. Technical report, Yahoo! Research Barcelona, Nov. 2006.
6. S. Chakrabarti, B. Dom, and P. Indyk. Enhanced hypertext categorization using hyperlinks. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 1998.
7. B. Davison. Recognizing nepotistic links on the web. In Workshop on Artificial Intelligence for Web Search, 2000.
8. B. Davison. Topical locality in the web. In Proc. 23rd Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, 2000.
9. I. Dorst and T. Scheffer. Thwarting the nigritude ultramarine: Learning to identify link spam. In Proc. European Conf. on Machine Learning, 2005.
10. D. Fetterly, M. Manasse, and M. Najork. On the evolution of clusters of near-duplicate web pages. In Proc. 1st Latin American Web Congress, 2003.
11. D. Fetterly, M. Manasse, and M. Najork. Spam, damn spam, and statistics: using statistical analysis to locate spam web pages. In Proc. 7th Int. Workshop on the Web and Databases, pages 1-6, 2004.
12. Z. Gyongyi and H. Garcia-Molina. Web spam taxonomy. In Workshop on Advers. Inf. Retrieval on the Web, 2005.
13. Z. Gyongyi, H. Garcia-Molina, and J. Pedersen. Combating web spam with trustrank. In Proc. 30th VLDB, 2004.
14. M. Henzinger, R. Motwani, and C. Silverstein. Challenges in web search engines. SIGIR Forum, 36(2):11-22, 2002.
15. J. M. Kleinberg. Authoritative sources in a hyperlinked environment. J. ACM, 46(5):604-632, 1999.
16. A. Ntoulas, M. Najork, M. Manasse, and D. Fetterly. Detecting spam web pages through content analysis. In Proc. 15th WWW, pages 83-92, 2006.
17. L. Page, S. Brin, R. Motwani, and T. Winograd. The pagerank citation ranking: Bringing order to the web. Technical report, Stanford University, 1998.
18. V. Shkapenyuk and T. Suel. Design and implementation of a high-performance distributed web crawler. In Int. Conf. on Data Engineering, 2002.
19. M. Sobek. PR0 - Google's PageRank 0 penalty, 2002.
20. I. Witten and E. Frank. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, 2005.
21. B. Wu and B. Davison. Identifying link farm spam pages. In Proc. 14th WWW, May 2005.
22. B. Wu and B. Davison. Detecting semantic cloaking on the web. In Proc. 15th WWW, pages 819-828, 2006.
23. B. Wu, V. Goel, and B. Davison. Propagating trust and distrust to demote Web spam. In Workshop on Models of Trust and the Web, 2006.
24. H. Zhang, A. Goel, R. Govindan, K. Mason, and B. V. Roy. Making eigenvector-based reputation systems robust to collusion. In Proc. 3rd Workshop on Web Graphs, 2004.