Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)
DOI: 10.1109/wi.2003.1241218
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Bayesian network-based trust model

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Cited by 216 publications
(128 citation statements)
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“…Jøsang [50] proposed the Dirichlet reputation system. A Bayesian network is used to model the trust under different conditions in [51]. By using Bayesian network, the requester can calculate the confidence probability of service providers according to the content he or she cares about.…”
Section: Probability Methods In Trust Computationmentioning
confidence: 99%
“…Jøsang [50] proposed the Dirichlet reputation system. A Bayesian network is used to model the trust under different conditions in [51]. By using Bayesian network, the requester can calculate the confidence probability of service providers according to the content he or she cares about.…”
Section: Probability Methods In Trust Computationmentioning
confidence: 99%
“…Li Xiong discusses the factors forming the reputation in P2P networks in detail, in which several metrics, including the feedback credibility, the peer's interaction number, the transaction feature and the transaction community, etc., are introduced to construct the model PeerTrust [2,4]. Yao purposes a Bayesian network based reputation model [5]. Kamvar exploits the approach of centrality measurement in social networks, putting forward a recommendation based global reputation model EigenTrust [1].…”
Section: Literature Reviewmentioning
confidence: 99%
“…It is easy to get the value via the algorithm. Wang [5] distinguished feedback ratings of familiar nodes from that of strange ones, proposing a semi-weighted reputation aggregation formula. However, it is difficult to find the familiar nodes due to the sparsity of virtual network.…”
Section: Introductionmentioning
confidence: 99%