Attacking recommender systems: A cost-benefit analysis

IEEE Intelligent Systems

Volumn 22, Issue 3, 2007, Pages 64-68

  Hurley, Neil J ^a   O'Mahony, Michael P ^a   Silvestre, Guenole C M ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

ATTACK PROFILES; FINANCIAL COSTS; MONETARY COSTS; PUSH ATTACKS;

COMPETITION; COMPUTER CRIME; COST BENEFIT ANALYSIS; INFORMATION USE;

INFORMATION SYSTEMS;

EID: 34250028396     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2007.44     Document Type: Article

References (7)

1. S.K. Lam and J. Riedl, "Shilling Recommander Systems for Fun and Profit," Proc. 13th Int'l World Wide Web Conf., ACM Press, 2004, pp. 393-402.
2. B. Mobasher et al., "Effective Attack Models for Shilling Item-Based Collaborative Filtering System." Proc. 2005 WebKDD Workshop, Springer, 2005.
3. M.P. O'Mahony, N.J. Hurley, and G.C.M. Silvestre, "Recommendcr Systems: Attack Types and Strategies," Proc. 20th Nat'l Conf. Artificial Intelligence, AAAI Press, 2005, pp. 334-339.
4. M.P. O'Mahony, "Towards Robust and Efficient Automated Collaborative Filtering," doctoral dissertation, Dept. of Computer Science, Univ. College Dublin, 2004.
5. The MIT Dictionary of Modern Economics, 4th ed., D.W. Pearce, ed., MIT Press, 1992.
6. P. Resnick et al., "Grouplens: An Open Architecture for Collaborative Filtering of Netnews," Proc. ACM Conf. Computer Supported Cooperative Work. ACM Press, 1994, pp. 175-186.
7. J. Herlocker et al., "An Algorithmic Framework for Performing Collaborative Filtering," Proc. 22nd Int'l SIGIR Conf. Research and Development in Information Retrieval, ACM Press. 1999, pp. 230-237.