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Document type:
Technical Report 
Author(s):
Stefan Birnkammerer; Wolfgang Woerndl; Georg Groh 
Title:
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...    »
 
Keywords:
Recommender Systems; Group Recommender; Decentralized Collaborative Filtering 
Year:
2009 
Year / month:
2009-11-03 00:00:00 
Pages:
39