Communications of the ACM
A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
SimRank: a measure of structural-context similarity
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to recommender systems: Algorithms and Evaluation
ACM Transactions on Information Systems (TOIS)
Propagation Models for Trust and Distrust in Social Networks
Information Systems Frontiers
Investigating interactions of trust and interest similarity
Decision Support Systems
Towards Decentralized Recommender Systems: Mitigating Rating Sparsity and Enabling Distributed Data Storage
A Model for Trust Metrics Analysis
TrustBus '08 Proceedings of the 5th international conference on Trust, Privacy and Security in Digital Business
Trust and nuanced profile similarity in online social networks
ACM Transactions on the Web (TWEB)
Computer
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Generating predictive movie recommendations from trust in social networks
iTrust'06 Proceedings of the 4th international conference on Trust Management
iTrust'05 Proceedings of the Third international conference on Trust Management
A task ordering approach for automatic trust establishment
ESSoS'12 Proceedings of the 4th international conference on Engineering Secure Software and Systems
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Trust is an essential feature of any system where entities have to collaborate. Trust can assist entities making decisions before establishing collaborations. It is desirable to simulate the behaviour of users as in social environments where they tend to trust users who have common interests or share some of their opinions, i.e., users similar to them. In this paper, we introduce the concept of context similarity among entities and derive a similarity network. Then, we define a trust model that allows us to establish trust along a path of entities. We validate our model in a proximity-based trust establishment scenario.