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
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Case-based recommender systems
The Knowledge Engineering Review
Distributed case-based reasoning
The Knowledge Engineering Review
User Modeling and User-Adapted Interaction
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
Personality aware recommendations to groups
Proceedings of the third ACM conference on Recommender systems
d2isco: Distributed Deliberative CBR Systems with jCOLIBRI
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
The adaptive web
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
jcolibri2: A framework for building Case-based reasoning systems
Science of Computer Programming
Template-Based Design in COLIBRI Studio
Information Systems
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Case-Based Reasoning (CBR) is one of most successful applied AI technologies of recent years. Although many CBR systems reason locally on a previous experience base to solve new problems, in this paper we focus on distributed retrieval processes working on a network of collaborating CBR systems. In such systems, each node in a network of CBR agents collaborates, arguments and counterarguments its local results with other nodes to improve the performance of the system's global response. We describe D2ISCO: a framework to design and implement deliberative and collaborative CBR systems that is integrated as a part of jCOLIBRI 2 an established framework in the CBR community. We apply D2ISCO to one particular simplified type of CBR systems: recommender systems. We perform a first 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 and a network topology based on a social network. Besides individual recommendation we also discuss how D2ISCO can be used to improve recommendations to groups and we present a second case of study based on the movie recommendation domain with heterogeneous groups according to the group personality composition and a group topology based on a social network.