Shilling recommender systems for fun and profit

Thirteenth International World Wide Web Conference Proceedings, WWW2004

Volumn , Issue , 2004, Pages 393-402

  Lam, Shyong K ^a   Riedl, John ^a  

^a University of Minnesota   (United States)

Author keywords

Collaborative filtering; Recommender systems; Shilling

Indexed keywords

ALGORITHMS; COMPUTER SUPPORTED COOPERATIVE WORK; DATA REDUCTION; ELECTRONIC COMMERCE; INFORMATION RETRIEVAL; ONLINE SYSTEMS;

COLLABORATIVE FILTERING; RECOMMENDER ALGORITHMS; RECOMMENDER SYSTEMS; SHILLING;

DATA STORAGE EQUIPMENT;

EID: 19944368437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/988672.988726     Document Type: Conference Paper

References (21)

1. S. E. Asch. Effects of group pressure upon the modification and distortion of judgements. Groups, Leadership, and Men, pages 177-190, 1951.
2. J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence (UAI-98), pages 43-52, July 1998.
3. J. Canny. Collaborative filtering with privacy via factor analysis. In IEEE Conference on Security and Privacy, May 2002.
4. D. Cosley, S. K. Lam, I. Albert, J. Kosntan, and J. Riedl. Is seeing believing? How recommender system interfaces affect users' opinions. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, 2003. CHI Letters 5(1).
5. C. Dellarocas. Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior. In ACM Conference on Electronic Commerce, pages 150-157, 2000.
6. D. Goldberg, D. Nichols, B. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. Communications of the ACM, 35(12):61-70, 1992.
7. K. Goldberg, T. Roeder, D. Gupta, and C. Perkins. Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval, 4(2): 133-151, 2001.
8. N. Good, B. Schafer, J. Konstan, A. Borchers, B. Sarwar, J. Herlocker, and J. Riedl. Combining collaborative filtering with personal agents for better recommendations. In Proceedings of the 1999 Conference of the American Association of Artificial Intelligence (AAAI-99), July 1999.
9. J. Herlocker, J. Konstan, A. Borchers, and J. Riedl. An algorithmic framework for performing collaborative filtering. In Proceedings of the 1999 Conference on Research and Development in Information Retrieval (SIGIR-99), Aug. 1999.
10. B. J. Jansen and A. Spink. An analysis of web documents retrieved and viewed. In Internet Computing Conference, Las Vegas, 2003.
11. B. Miller, J. Riedl, and J. Konstan. GroupLens for Usenet: Experiences in applying collaborative filtering to a social information system. In C. Leug and D. Fisher, editors, From Usenet to CoWebs: Interacting with Social Information Spaces. Springer-Verlag, 2002.
12. B. N. Miller. Toward a Personal Recommender System. PhD thesis, University of Minnesota, 2002.
13. C. Nass and Y. Moon. Machines and mindlessness: Social responses to computers. Journal of Social Issues, pages 81-103, 2000.
14. M. P. O'Mahony, N. Hurley, N. Kushmerick, and G. Silvestre. Collaborative recommendation: A robustness analysis. ACM Transactions on Internet Technology, 2003. Special Issue on Machine Learning for the Internet.
15. M. P. O'Mahony, N. J. Hurley, and G. C. Silvestre. Promoting recommendations: An attack on collaborative filtering. In Proceedings of the 13th International Conference on Database and Expert Systems Applications, pages 494-503. Springer Verlag, 2002.
16. P. Resnick, N. Iacovou, M. Sushak, P. Bergstrom, and J. Riedl. GroupLens: An open architecture for collaborative filtering of netnews. In Proceedings of CSCW 1994. ACM SIG Computer Supported Cooperative Work, 1994.
17. B. M. Sarwar, G. Karypis, J. A. Konstan, and J. Riedl. Application of dimensionality reduction in recommander system - a case study. In ACM WebKDD 2000 Web Mining for E-Commerce Workshop, 2000.
18. B. M. Sarwar, G. Karypis, J. A. Konstan, and J. Riedl. Item-based collaborative filtering recommendation algorithms. In Proceedings of the 10th International World Wide Web Conference (WWW10), Hong Kong, May 2001.
19. J. Schafer, J. Konstan, and J. Riedl. Electronic commerce recommender applications. Data Mining and Knowledge Discovery, Jan. 2001.
20. U. Shardanand and P. Maes. Social information filtering: Algorithms for automating 'word of mouth'. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, pages 210-217, 1995.
21. L. von Ahn, M. Blum, N. Hopper, and J. Langford. CAPTCHA: Using hard AI problems for security. In Proceedings of Eurocrypt, 2003, 2003.