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IAT
2009
IEEE

Group Recommendation with Automatic Identification of Users Communities

13 years 10 months ago
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, these approaches take into account that groups of users already exist and no recommender system is able to detect intrinsic users communities. This paper describes an algorithm that detects groups of users whose preferences are similar and predicts recommendations for such groups. Groups of different granularities are generated through a modularity-based Community Detection algorithm, making it possible for a content provider to explore the trade off between the level of personalization of the recommendations and the number of channels. Experimental results show that the quality of group recommendations increases linearly with the number of groups created. Keywords-recommender systems, co...
Ludovico Boratto, Salvatore Carta, Alessandro Ches
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where IAT
Authors Ludovico Boratto, Salvatore Carta, Alessandro Chessa, Maurizio Agelli, M. Laura Clemente
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