GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
An evidential model of distributed reputation management
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
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Eigentaste: A Constant Time Collaborative Filtering Algorithm
Information Retrieval
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Towards multi-agent electronic marketplaces: what is there and what is missing?
The Knowledge Engineering Review
Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
Proceedings of the 10th international conference on Intelligent user interfaces
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Knowledge and Data Engineering
A survey of trust and reputation systems for online service provision
Decision Support Systems
Attack-resistant trust metrics for public key certification
SSYM'98 Proceedings of the 7th conference on USENIX Security Symposium - Volume 7
Trust-aware recommender systems
Proceedings of the 2007 ACM conference on Recommender systems
A model of a trust-based recommendation system on a social network
Autonomous Agents and Multi-Agent Systems
A Hybrid Recommender Approach Based on Widrow-Hoff Learning
FGCN '08 Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking - Volume 01
Producing timely recommendations from social networks through targeted search
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Smart cheaters do prosper: defeating trust and reputation systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Hybrid Recommender System Using Latent Features
WAINA '09 Proceedings of the 2009 International Conference on Advanced Information Networking and Applications Workshops
A survey of attack and defense techniques for reputation systems
ACM Computing Surveys (CSUR)
Trust and nuanced profile similarity in online social networks
ACM Transactions on the Web (TWEB)
Learning to recommend with trust and distrust relationships
Proceedings of the third ACM conference on Recommender systems
Collaborative filtering recommender systems
The adaptive web
International Journal of Approximate Reasoning
Trust- and Distrust-Based Recommendations for Controversial Reviews
IEEE Intelligent Systems
Hybrid personalized recommender system using centering-bunching based clustering algorithm
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
Bayesian network trust model in peer-to-peer networks
AP2PC'03 Proceedings of the Second international conference on Agents and Peer-to-Peer Computing
A framework for collaborative filtering recommender systems
Expert Systems with Applications: An International Journal
Knowledge-Based Systems
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It is difficult for the users to reach the most appropriate and reliable item for them among vast number of items and comments on these items. Recommendation systems and trust/reputation systems are one of the solutions to deal with this problem with the help of personalized services. These systems suggest items to the user by estimating the ratings that user would give to them. Use of trust data for giving recommendation has emerged as a new way for giving better recommendations. In the literature, it is shown that trust based recommendation approaches perform better than the ones that are only based on user similarity, or item similarity. In this paper, a comparative review of recommendation systems, trust/reputation systems, and their combined usage is presented. Then, a sample trust based agent oriented recommendation system is proposed and its effectiveness is justified with the help of some experiments.