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