Group Recommendation with Automatic Identification of Users Communities

Recommender systems usually propose items to single users. However, in some domains like Mobile IPTV or Satellite Systems it might be impossible to generate a program schedule for each user, because of bandwidth limitations. A few approaches were proposed to generate group recommendations. However,...

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Bibliographic Details
Published in:	Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03 Vol. 3; pp. 547 - 550
Main Authors:	Boratto, Ludovico, Carta, Salvatore, Chessa, Alessandro, Agelli, Maurizio, Clemente, M. Laura
Format:	Conference Proceeding
Language:	English
Published:	Washington, DC, USA IEEE Computer Society 15.09.2009 IEEE
Series:	ACM Conferences
Subjects:	Collaboration collaborative filtering Communities community detection Conferences Detection algorithms Filtering Human-centered computing > Collaborative and social computing Information systems > Information retrieval > Evaluation of retrieval results Information systems > Information retrieval > Retrieval tasks and goals > Document filtering Information systems > Information retrieval > Retrieval tasks and goals > Information extraction Information systems > Information retrieval > Users and interactive retrieval > Personalization Information systems > World Wide Web > Web searching and information discovery > Personalization Intelligent agent IPTV Motion pictures Partitioning algorithms Recommender systems collaborative filtering community detection recommender systems
ISBN:	0769538010, 9780769538013
Online Access:	Get full text
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