On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Principles of expert systems
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
MovieLens unplugged: experiences with an occasionally connected recommender system
Proceedings of the 8th international conference on Intelligent user interfaces
A Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
A note on web intelligence, world knowledge and fuzzy logic
Data & Knowledge Engineering - Special jubilee issue: DKE 50
Proceedings of the 10th international conference on Intelligent user interfaces
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
IEEE Transactions on Knowledge and Data Engineering
A survey of trust and reputation systems for online service provision
Decision Support Systems
Collaborative Filtering Using Dual Information Sources
IEEE Intelligent Systems
A Compact User Model for Hybrid Movie Recommender System
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 01
Fuzzy-genetic approach to recommender systems based on a novel hybrid user model
Expert Systems with Applications: An International Journal
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A classification of trust systems
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
iTrust'05 Proceedings of the Third international conference on Trust Management
A prediction QOS approach reputation-based in web services
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
A fuzzy trust evaluation method for knowledge sharing in virtual enterprises
Computers and Industrial Engineering
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Expert Systems with Applications: An International Journal
Maintaining trustworthiness of service compositions
Proceedings of the 8th International Conference on Frontiers of Information Technology
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Information Sciences: an International Journal
Collaboration-based medical knowledge recommendation
Artificial Intelligence in Medicine
A novel reputation computing model
INTRUST'10 Proceedings of the Second international conference on Trusted Systems
Incorporating fuzzy trust in collaborative filtering based recommender systems
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
e-learning recommender system for learners in online social networks through association retrieval
Proceedings of the CUBE International Information Technology Conference
Predicting Friends and Foes in Signed Networks Using Inductive Inference and Social Balance Theory
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Computers and Industrial Engineering
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In the recent past, a considerable research has been devoted to trust and reputation mechanisms to simplify complex transactions for open environments in social networking, e-commerce, and recommender systems (RS). In real life, we come to know about others through our social circle according to their reputation which is a public view. However, it is not always adequate to depend solely on the public view and therefore a trust measure is required to give a personalized view of the future encounters with a specific partner. In this paper, we propose fuzzy computational models for both trust and reputation concepts. Reciprocity and experience are used for trust modeling while the proposed reputation model is a fuzzy extension of beta reputation model. A two-level filtering methodology is proposed to benefit to a large extent from both the concepts separately. In order to justify the proposed models, we compared them with the existing reputation models for movie RS. The experimental results show that the incorporation of trust and reputation concepts into RS indeed improves the recommendation accuracy and establish that our models are better than beta and the popular eBay reputation models.