Lies and Propaganda: Detecting Spam Users in Collaborative Filtering

This paper talks about the different ways of detecting spam users. It discusses and explains various algorithms for the same. Lies and Propaganda may be spread bya malicious user who may have an interest in promoting,or downplaying the popularity of an item. By doing thissystematically, with eithermultiple identities, or by involving more people, a few malicious user votes and profiles can be injected into a collaborative recommender system. In this work, provide a simple unsupervised algorithm is provided, which exploitsstatistical properties of effective spam profiles to provide a highly accurate and fast algorithm for detecting spam.

link to paper: http://delivery.acm.org/10.1145/1220000/1216307/p14-mehta.pdf?key1=1216307&key2=7374527021&coll=GUIDE&dl=GUIDE&CFID=62245235&CFTOKEN=96995055