A calculus for mass assignments in evidential reasoning
Advances in the Dempster-Shafer theory of evidence
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Methods for task allocation via agent coalition formation
Artificial Intelligence
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
REGRET: reputation in gregarious societies
Proceedings of the fifth international conference on Autonomous agents
A Social Mechanism of Reputation Management in Electronic Communities
CIA '00 Proceedings of the 4th International Workshop on Cooperative Information Agents IV, The Future of Information Agents in Cyberspace
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
The PSI3 agent recommender system
ICWE'03 Proceedings of the 2003 international conference on Web engineering
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A collaborative recommender system based on probabilistic inference from fuzzy observations
Fuzzy Sets and Systems
Hybrid recommendation approaches for multi-criteria collaborative filtering
Expert Systems with Applications: An International Journal
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Recommender systems intend to provide suggestions based on the opinion of several sources of information. But personalised suggestions based on past user's likes and dislikes require a distributed approach. In this way, agents may automatically collect recommendations from other agents applying personal criteria in order to determine whether an item is recommended to the user or not. The application of agent technology to the recommending problem has been tested before by researchers from the M.I.T., Univ. North Carolina, and the Spanish Research Institute. In this paper, we present a new, elegant and effective way to combine vague and subjective opinions to make recommendations using fuzzy logic. We have adapted real data on evaluations of movies (from the site MovieLens) to compare our proposal with the predecessors. The experimental results obtained show, using ROC curves and cost analysis, how our approach performs better than some other distributed collaborative filtering methods applied to provide personalised recommendations.