Advanced Features in Bayesian Reputation Systems

Authors:
Audun Jøsang;Walter Quattrociocchi
Affiliations:
UNIK Graduate Center, University of Oslo,;Institute of Cognitive Sciences and Technologies (ISTC), Italian National Research Council,
Venue:
TrustBus '09 Proceedings of the 6th International Conference on Trust, Privacy and Security in Digital Business
Year:
2009

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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.