Advanced Features in Bayesian Reputation Systems

Abstract. Bayesian reputation systems are quite flexible and can relatively easily be adapted to different types of applications and environments. The purpose of this paper is to provide a concise overview of the rich set of features that characterizes Bayesian reputation systems. In particular we demonstrate the importance of base rates during bootstrapping, for handling rating scarcity and for expressing long term trends.

• Type: Conference
• Year: 2009
• Where: TRUSTBUS
• Authors: Audun Jøsang, Walter Quattrociocchi
• Keywords: Bayesian Reputation Systems, Long Term Trends, Rating Scarcity, Security Privacy, TRUSTBUS 2009