@book{
 title = {Distributed deliberative recommender systems},
 type = {book},
 year = {2010},
 source = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
 identifiers = {[object Object]},
 volume = {6220 LNCS},
 id = {681262f6-618f-3696-8df6-ed4959b065c2},
 created = {2017-12-11T12:30:37.965Z},
 file_attached = {false},
 profile_id = {93b02a20-88c2-31ac-b399-224e27b8cf85},
 last_modified = {2017-12-11T12:30:37.965Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {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 D 2 ISCO: a framework to design and implement deliberative and collaborative CBR systems that is integrated as a part of jcolibritwo an established framework in the CBR community. We apply D 2 ISCO 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 D 2 ISCO 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. © 2010 Springer-Verlag Berlin Heidelberg.},
 bibtype = {book},
 author = {Recio-García, J.A. and Díaz-Agudo, B. and González-Sanz, S. and Sanchez, L.Q.}
}

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