The anatomy of a large-scale hypertextual Web search engine
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Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
Communications of the ACM
Collaborative reputation mechanisms for electronic marketplaces
Decision Support Systems - Special issue for business to business electronic commerce, issues and solutions
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
REGRET: reputation in gregarious societies
Proceedings of the fifth international conference on Autonomous agents
Robustness of reputation-based trust: boolean case
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Disseminating Trust Information in Wearable Communities
Personal and Ubiquitous Computing
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
A Computational Model of Trust and Reputation for E-businesses
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Social ReGreT, a reputation model based on social relations
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Identity Crisis: Anonymity vs. Reputation in P2P Systems
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Spreading Activation Models for Trust Propagation
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PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
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Evaluation and Design of Online Cooperative Feedback Mechanisms for Reputation Management
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Trusted P2P Transactions with Fuzzy Reputation Aggregation
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TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
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An Entropy-Based Approach to Protecting Rating Systems from Unfair Testimonies
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A survey of trust and reputation systems for online service provision
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A survey on distributed approaches to graph based reputation measures
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GossipTrust for Fast Reputation Aggregation in Peer-to-Peer Networks
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Reputation Bootstrapping for Trust Establishment among Web Services
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Information Sciences: an International Journal
A Fine-Grained Reputation System for Reliable Service Selection in Peer-to-Peer Networks
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A method for stochastic multiple criteria decision making based on dominance degrees
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Reputation inflation detection in a Chinese C2C market
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A novel reputation computing model
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PB-ADVISOR: A private banking multi-investment portfolio advisor
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A unified data mining solution for authorship analysis in anonymous textual communications
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Information Sciences: an International Journal
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This work introduces a probabilistic model allowing to compute reputation scores as close as possible to their intrinsic value, according to the model. It is based on the following, natural, consumer-provider interaction model. Consumers are assumed to order items from providers, who each has some intrinsic, latent, ''quality of service'' score. In the basic model, the providers supply the items with a quality following a normal law, centered on their intrinsic ''quality of service''. The consumers, after the reception and the inspection of the item, rate it according to a linear function of its quality - a standard regression model. This regression model accounts for the bias of the consumer in providing ratings as well as his reactivity towards changes in item quality. Moreover, the constancy of the provider in supplying an equal quality level when delivering the items is estimated by the standard deviation of his normal law of item quality generation. Symmetrically, the consistency of the consumer in providing similar ratings for a given quality is quantified by the standard deviation of his normal law of ratings generation. Two extensions of this basic model are considered as well: a model accounting for truncation of the ratings and a Bayesian model assuming a prior distribution on the parameters. Expectation-maximization algorithms, allowing to estimate the parameters based on the ratings, are developed for all the models. The experiments suggest that these models are able to extract useful information from the ratings, are robust towards adverse behaviors such as cheating, and are competitive in comparison with standard methods. Even if the suggested models do not show considerable improvements over other competing models (such as Brockhoff and Skovgaard's model [12]), they, however, also permit to estimate interesting features over the raters - such as their reactivity, bias, consistency, reliability, or expectation.