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Dokumenttyp:
Technical Report 
Autor(en):
Stefan Birnkammerer; Wolfgang Woerndl; Georg Groh 
Titel:
Recommending for Groups in Decentralized Collaborative Filtering 
Abstract:
This paper deals with the process of recommending movies for groups of people in a mobile, decentralized scenario. Many participating peers exchange their individual rating vectors and build up their own internal prediction model. A stationary device allows a group of peers to receive group recommendations and input explicit group ratings. After a brief introduction into the field of recommender systems, we show in particular the problems of group recommender systems and their evaluation. We pro...    »
 
Stichworte:
Recommender Systems; Group Recommender; Decentralized Collaborative Filtering 
Jahr:
2009 
Jahr / Monat:
2009-11-03 00:00:00 
Seiten/Umfang:
39