Unsupervised shilling detection for collaborative filtering

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2007, Pages 1402-1407

  Mehta, Bhaskar ^a  

^a L3S RESEARCH CENTER   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ROBUSTNESS (CONTROL SYSTEMS); STATISTICAL METHODS; USER INTERFACES;

COLLABORATIVE FILTERING; RECOMMENDER SYSTEMS; SOCIAL SYSTEMS; UNSUPERVISED SHILLING DETECTION;

COMPUTER SUPPORTED COOPERATIVE WORK;

EID: 36348937810     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Burke, R.; Mobasher, B.; Williams, C.; and Bhaumik, R. 2006. Analysis and detection of segment-focused attacks against collaborative recommendation. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'06).
2. Hofmann, T. 2004. Latent semantic models for collaborative filtering. ACM Trans. Inf. Syst. 22(1):89-115.
3. Jolliffe, I. T. 2002. Principal Component Analysis (2nd Edition). Springer.
4. Lam, S. K., and Riedl, J. 2004. Shilling recommender systems for fun and profit. In WWW '04: Proceedings of the 13th international conference on World Wide Web, 393-402. New York, NY, USA: ACM Press.
5. Mobasher, B.; Burke, R. D.; and Sandvig, J. J. 2006. Model-based collaborative filtering as a defense against profile injection attacks. In AAAI.
6. O'Mahony, M.; Hurley, N.; Kushmerick, N.; and Silvestre, G. 2004. Collaborative recommendation: A robustness analysis. ACM Trans. Inter. Tech. 4(4):344-377.