eprintid: 1888
rev_number: 7
eprint_status: archive
userid: 6
dir: disk0/00/00/18/88
datestamp: 2013-11-07 13:17:48
lastmod: 2013-11-07 13:17:48
status_changed: 2013-11-07 13:17:48
type: book_section
metadata_visibility: show
creators_name: Boratto, Ludovico
creators_name: Carta, Salvatore
creators_name: Chessa, Alessandro
creators_name: Agelli, Maurizio
creators_name: Clemente, M. Laura
creators_id: 
creators_id: 
creators_id: alessandro.chessa@imtlucca.it
creators_id: 
creators_id: 
title: Group Recommendation with Automatic Identification of Users Communities
ispublished: pub
subjects: QA75
subjects: QC
divisions: EIC
full_text_status: none
keywords: collaborative filtering; community detection; recommender systems
abstract: 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.
date: 2009
date_type: published
volume: 3
publisher: IEEE
pagerange: 547-550
event_title: Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
id_number: 10.1109/WI-IAT.2009.346
refereed: TRUE
isbn: 978-1-4244-5331-3 
book_title: Proceedings of the IEEE/WIC/ACM International Joint Conferences on eb Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09.
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5285024&isnumber=5284931
citation:   Boratto, Ludovico and Carta, Salvatore and Chessa, Alessandro and Agelli, Maurizio and Clemente, M. Laura  Group Recommendation with Automatic Identification of Users Communities.   In:  Proceedings of the IEEE/WIC/ACM International Joint Conferences on eb Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09.   IEEE, pp. 547-550.  ISBN 978-1-4244-5331-3       (2009)