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Issue No.03 - May/June (2007 vol.22)
pp: 64-68
Michael P. O'Mahony , University College Dublin
Neil J. Hurley , University College Dublin
ABSTRACT
Collaborative recommender systems are vulnerable to attacks that seek to manipulate recommendations made for target items. The authors examine such attacks from a cost perspective, focusing on the effect that attack size—in terms of the number of ratings inserted during an attack—has on attack success. They present a cost-benefit analysis that shows that attackers can realize profits, even when financial costs are imposed on the insertion of ratings.
INDEX TERMS
recommender systems, cost-benefit analysis
CITATION
Michael P. O'Mahony, Neil J. Hurley, "Attacking Recommender Systems: A Cost-Benefit Analysis", IEEE Intelligent Systems, vol.22, no. 3, pp. 64-68, May/June 2007, doi:10.1109/MIS.2007.44
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