Jøsang, Audun and Quattrociocchi, Walter Advanced features in Bayesian reputation systems. In: Trust, Privacy and Security in Digital Business. Lecture Notes in Computer Science (5695). Springer , pp. 105-114. ISBN 978-3-642-03748-1 (2009)
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1007/978-3-642-03748-1_11
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
| Item Type: | Book Section |
|---|---|
| Identification Number: | https://doi.org/10.1007/978-3-642-03748-1_11 |
| Additional Information: | 6th International Conference, TrustBus 2009, Linz, Austria, September 3-4, 2009. Proceedings |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Research Area: | Computer Science and Applications |
| Depositing User: | Ms T. Iannizzi |
| Date Deposited: | 17 Jan 2014 13:49 |
| Last Modified: | 17 Jan 2014 13:49 |
| URI: | http://eprints.imtlucca.it/id/eprint/2095 |
Actions (login required)
 |
Edit Item |
