TY  - CHAP
ID  - eprints2095
EP  - 114
UR  - http://dx.doi.org/10.1007/978-3-642-03748-1_11
PB  - Springer 
AV  - none
SN  - 978-3-642-03748-1
SP  - 105
T2  - Trust, Privacy and Security in Digital Business
Y1  - 2009///
T3  - Lecture Notes in Computer Science
A1  - Jøsang, Audun
A1  - Quattrociocchi, Walter
N2  - 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
N1  - 6th International Conference, TrustBus 2009, Linz, Austria, September 3-4, 2009. Proceedings
TI  - Advanced features in Bayesian reputation systems
ER  -