Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
Recommending collaboration with social networks: a comparative evaluation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Collaborative Case-Based Reasoning: Applications in Personalised Route Planning
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Distributed case-based reasoning
The Knowledge Engineering Review
Inferring binary trust relationships in Web-based social networks
ACM Transactions on Internet Technology (TOIT)
Investigating interactions of trust and interest similarity
Decision Support Systems
Building CBR systems with jcolibri
Science of Computer Programming
An argumentation-based framework for deliberation in multi-agent systems
ArgMAS'07 Proceedings of the 4th international conference on Argumentation in multi-agent systems
Generating predictive movie recommendations from trust in social networks
iTrust'06 Proceedings of the 4th international conference on Trust Management
A survey of trust in internet applications
IEEE Communications Surveys & Tutorials
Distributed deliberative recommender systems
Transactions on computational collective intelligence I
eXiT*CBR.v2: Distributed case-based reasoning tool for medical prognosis
Decision Support Systems
Including social factors in an argumentative model for Group Decision Support Systems
Decision Support Systems
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In this paper we describe D2ISCO: a framework to design and implement deliberative and collaborative Case Based Reasoning (CBR) systems. Using D2ISCO we design and implement distributed CBR systems where each node collaborates, arguments and counterarguments its local results with other nodes to improve the performance of the system's global response. D2ISCO is integrated as a part of jcolibri 2 [1] an established framework in the CBR community. We perform a case study for a collaborative music recommender system and present the results of an experiment of the accuracy of the system results using a fuzzy version of the argumentation system AMAL [2] and a network topology based on a social network.