ScoreTree: A Decentralised Framework for Credibility Management of User-Generated Content

  • Yang Liao
  • Aaron Harwood
  • Kotagiri Ramamohanarao
Conference paper

DOI: 10.1007/978-3-642-21387-8_20

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6723)
Cite this paper as:
Liao Y., Harwood A., Ramamohanarao K. (2011) ScoreTree: A Decentralised Framework for Credibility Management of User-Generated Content. In: Felber P., Rouvoy R. (eds) Distributed Applications and Interoperable Systems. DAIS 2011. Lecture Notes in Computer Science, vol 6723. Springer, Berlin, Heidelberg

Abstract

Peer-to-peer applications are used in sharing User-Generated Content (UGC) on the Internet and there is a significant need for UGC to be analysed for credibility/quality. A number of schemes have been proposed for deriving credibility of content items by analysing users’ feedback, mostly using centralised computations and/or semi-decentralised approaches. In this paper, we propose our P2P schema, ScoreTree, that decentralises a relatively complex credibility management algorithm by aggregating distributed evaluations and delivering an estimate of credibility for each interested content item. Our experiments show that our schema compares favourably with existing decentralised approaches including a gossip message based implementation of ScoreFinder, and a widely adopted P2P application called Vuze.

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Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Yang Liao
    • 1
  • Aaron Harwood
    • 1
  • Kotagiri Ramamohanarao
    • 1
  1. 1.The Department of Computer Science and Software EngineeringThe University of MelbourneAustralia

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