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d2isco: Distributed Deliberative CBR Systems with jCOLIBRI

  • Sergio González-Sanz
  • Juan A. Recio-García
  • Belén Díaz-Agudo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5796)

Abstract

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 jcolibri2 [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.

Keywords

Social Network Recommender System Reasoning Process Case Base Reasoning Real Rating 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Sergio González-Sanz
    • 1
  • Juan A. Recio-García
    • 1
  • Belén Díaz-Agudo
    • 1
  1. 1.Department of Software Engineering and Artificial IntelligenceUniversidad Complutense de MadridSpain

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