Cleaning search results using term Distance features

AIRWeb 2008 - Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web

Volumn , Issue , 2008, Pages 21-24

  Attenberg, Josh ^a   Suei, Torsten ^a  

^a POLYTECHNIC UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CRITICAL CHALLENGES; DISTANCE FEATURES; DISTANCE HISTOGRAMS; PHRASE STITCHING; POST-FILTERING; QUERY RESULTS; SEARCH RESULTS; SPAM DETECTIONS; SPAMMERS; TOPICAL STRUCTURES; WEB PAGES; WORD FREQUENCIES;

DATA STRUCTURES; INFORMATION RETRIEVAL; INFORMATION SERVICES; INTERNET; SEARCH ENGINES; WORLD WIDE WEB;

SPAMMING;

EID: 63049116995     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1451983.1451989     Document Type: Conference Paper

References (20)

1. E. Amitay, D. Carmel, A. Darlow, R. Lempel, and A. So. The connectivity sonar: Detecting site functionality by structural patterns. In Proc. of the 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 Advers. Inf. Retrieval on the Web, Aug. 2006.
3. A. Benczúr, I. Bíró, K. Csalogány, and T. Sarlós. Web spam detection via commercial intent analysis. In Proc. of the 3rd Int. Workshop on Adversarial Information Retrieval on the Web, pages 89-92. ACM, 2007.
4. A. Benczur, K. Csalogany, T. Sartas, and M. Uher. Spamrank - fully automatic link spam detection. In Workshop on Advers. Inf. Retrieval on the Web, 2005.
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. B. Davison. Recognizing nepotistic links on the web. In Workshop on Artificial Intelligence for Web Search, 2000.
7. I. Dorst and T. Scheffer. Thwarting the nigritude ultramarine: Learning to identify link spam. In Proc. European Conf. on Machine Learning, 2005.
8. Q. Gan and T. Suel. Improving web spam classifiers using link structure. In AIRWeb '07: Procc of the 3rd Int. Workshop on Advers. Inf. Retrieval on the Web, pages 17-20. ACM, 2007.
9. Z. Gyongyi, P. Berkhin, H. Garcia-Molina, and J. Pedersen. Link spam detection based on mass estimation. In Proc. 32nd VLDB, pages 439-450, 2006.
10. Z. Gyongyi and H. Garcia-Molina. Link spam alliances. In Proc. 31st VLDB, pages 517-528, 2005.
11. Z. Gyongyi and H. Garcia-Molina. Web spam taxonomy. In Workshop on Advers. Inf. Retrieval on the Web, 2005.
12. Z. Gyongyi, H. Garcia-Molina, and J. Pedersen. Combating web spam with trustrank. In Proc. 30th VLDB, 2004.
13. M. A. Hearst. Multi-paragraph segmentation of expository text. In Proc. of the 32nd Annual Meeting of the Assoc. for Computational Linguistics, pages 9-16, 1994.
14. M. A. Hearst. Textriling: Segmenting text into multi-paragraph subtopic passages. Comput. Linguist., 23(1):33-64, 1997.
15. J. Leskovec, S. Dumais, and E. Horvitz. Web projections: Learning from contextual subgraphs of the web. In WWW '07: Proc. of the 16th Int Conf. on World Wide Web, pages 471-480. ACM, 2007.
16. G. Mishne, D. Carmel, and R. Lempel. Blocking blog spam with language model disagreement. In Proc. of the 1st Int. Workshop on Adversarial Information Retrieval on the Web. pages 1-6, 2005.
17. A. Ntoulas, M. Najork, M. Manasse, and D. Fetterly. Detecting spam web pages through content analysis. In Proc. 15th WWW, pages 83-92, 2006.
18. G. Pass, A. Chowdhury, and C. Torgeson. A picture of search. In Proc. of the 1st Int. Conf. on Scalable Information Systems, 2006.
19. B. Wu and B. Davison. Identifying link farm spam pages. In Proc. 14th WWW, May 2005.
20. 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.