%0 Book Section
%A Jøsang, Audun
%A Quattrociocchi, Walter
%B Trust, Privacy and Security in Digital Business
%D 2009
%F eprints:2095
%I Springer 
%N 5695
%P 105-114
%S Lecture Notes in Computer Science
%T Advanced features in Bayesian reputation systems
%U http://eprints.imtlucca.it/2095/
%X 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
%Z 6th International Conference, TrustBus 2009, Linz, Austria, September 3-4, 2009. Proceedings