Web spam detection via commercial intent analysis

ACM International Conference Proceeding Series

Volumn 215, Issue , 2007, Pages 89-92

  Benczúr, András ^a   Bíró, István ^a   Csalogány, Károly ^a   Sarlós, Tamás ^a  

^a INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

Commercial intent; Query monetizability; Query popularity

Indexed keywords

COMMERCIAL INTENT ANALYSIS; MICROSOFT (CO); QUERY MONETIZABILITY; QUERY POPULARITY; WEB SPAM FILTERING;

ADAPTIVE FILTERING; DATA PRIVACY; FEATURE EXTRACTION; ONLINE SYSTEMS; QUERY PROCESSING; SEARCH ENGINES;

SPAMMING;

EID: 35548932906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1244408.1244424     Document Type: Conference Paper

References (20)

1. A. A. Benczúr, K. Csalogány, E. Friedman, D. Fogaras, T. Sarlós, M. Uher, and E. Windhager. Searching a small national domain-preliminary report. In Proc. WWW, 2003.
2. A. A. Benczúr, K. Csalogány, and T. Sarlós. Link-based similarity search to fight web spam. In Proc. AIRWeb, 2006.
3. A. A. Benczúr, K. Csalogány, T. Sarlós, and M. Uher. SpamRank - Fully automatic link spam detection. In Proc. AIRWeb, 2005.
4. A. Z. Broder. A taxonomy of web search. SIGIR Forum, 36(2):3-10, 2002.
5. C. Castillo, D. Donato, L. Becchetti, P. Boldi, S. Leonardi, M. Santini, and S. Vigna. A reference collection for web spam. SIGIR Forum, 40(2), 2006.
6. C. Castillo, D. Donato, A. Gionis, V. Murdock, and F. Silvestri. Know your neighbors: Web spam detection using the web topology. DELIS Technical report TR-0458, 2006.
7. K. Chellapilla and D. M. Chickering. Improving cloaking detection using search query popularity and monetizability. In Proc. AIRWeb, pages 17-24, 2006.
8. H. K. Dai, L. Zhao, Z. Nie, J.-R. Wen, L. Wang, and Y. Li. Detecting online commercial intention (OCI). In Proc. WWW, pages 829-837, 2006.
9. I. Drost and T. Scheffer. Thwarting the nigritude ultramarine: Learning to identify link spam. In Proc. ECML, volume 3720 of LNAI, pages 233-243, 2005.
10. N. Eiron, K. S. McCurley, and J. A. Tomlin. Ranking the web frontier. In Proc. WWW, pages 309-318, 2004.
11. R. Fagin, R. Kumar, K. S. McCurley, J. Novak, D. Sivakumar, J. A. Tomlin, and D. P. Williamson. Searching the workplace web. In Proc. WWW, 2003.
12. D. Fetterly, M. Manasse, and M. Najork. Spam, damn spam, and statistics - Using statistical analysis to locate spam web pages. In Proc. WebDB, 2004.
13. Z. Gyöngyi and H. Garcia-Molina. Spam: It's not just for inboxes anymore. IEEE Computer Magazine, 38(10):28-34, 2005.
14. Z. Gyöngyi and H. Garcia-Molina. Web spam taxonomy. In Proc. AIRWeb, 2005.
15. Z. Gyöngyi, H. Garcia-Molina, and J. Pedersen. Combating web spam with TrustRank. In Proc. VLDB, pages 576-587, 2004.
16. M. R. Henzinger, R. Motwani, and C. Silverstein. Challenges in web search engines. SIGIR Forum, 36(2):11-22, 2002.
17. A. Ntoulas, M. Najork, M. Manasse, and D. Fetterly. Detecting spam web pages through content analysis. In Proc. WWW, pages 83-92, 2006.
18. Y.-M. Wang, M. Ma, Y. Niu, and H. Chen. Spam double-funnel: Connecting web spammers with advertisers. In Proc. WWW, 2007.
19. I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques, Second edition. Morgan Kaufmann, 2005.
20. B. Wu, V. Goel, and B. D. Davison. Propagating trust and distrust to demote web spam. In Workshop on Models of Trust for the Web, 2006.