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Advanced Features in Bayesian Reputation Systems

  • Conference paper
Trust, Privacy and Security in Digital Business (TrustBus 2009)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5695))

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.

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References

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Author information

Authors and Affiliations

  1. UNIK Graduate Center, University of Oslo, Norway

    Audun Jøsang

  2. Institute of Cognitive Sciences and Technologies (ISTC), Italian National Research Council, Italy

    Walter Quattrociocchi

Authors
  1. Audun Jøsang
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  2. Walter Quattrociocchi
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Karlstad University, Universitetsgatan 2, 651 88, Karlstad, Sweden

    Simone Fischer-Hübner

  2. Laboratory of Information and Communication Systems Security, Department of Information and Communication Systems Engineering, University of the Aegean, 83200, Karlovassi, Samos, Greece

    Costas Lambrinoudakis

  3. Department of Management Information Systems, University of Regensburg, Universitätsstraße 31, 93053, Regensburg, Germany

    Günther Pernul

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© 2009 Springer-Verlag Berlin Heidelberg

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Jøsang, A., Quattrociocchi, W. (2009). Advanced Features in Bayesian Reputation Systems. In: Fischer-Hübner, S., Lambrinoudakis, C., Pernul, G. (eds) Trust, Privacy and Security in Digital Business. TrustBus 2009. Lecture Notes in Computer Science, vol 5695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03748-1_11

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  • DOI: https://doi.org/10.1007/978-3-642-03748-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03747-4

  • Online ISBN: 978-3-642-03748-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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