The influence limiter

Paul Resnick, Rahul Sami
2007 Proceedings of the 2007 ACM conference on Recommender systems - RecSys '07  
An attacker can draw attention to items that don't deserve that attention by manipulating recommender systems. We describe an influence-limiting algorithm that can turn existing recommender systems into manipulation-resistant systems. Honest reporting is the optimal strategy for raters who wish to maximize their influence. If an attacker can create only a bounded number of shills, the attacker can mislead only a small amount. However, the system eventually makes full use of information from
more » ... st, informative raters. We describe both the influence limits and the information loss incurred due to those limits in terms of information-theoretic concepts of loss functions and entropies.
doi:10.1145/1297231.1297236 dblp:conf/recsys/ResnickS07 fatcat:ozaj2mxywrctldcz6jjxmnwy2a