Title :
GroupRecoPF: Innovative Group Recommendations in a Distributed Platform
Author :
Gross, Tom ; Beckmann, Christoph ; Schirmer, Maximilian
Author_Institution :
Fac. of Media, Bauhaus-Univ. Weimar, Weimar, Germany
Abstract :
Group recommender systems provide groups of users with shared recommendations. They have great potential for easing group decision processes, while at the same time entailing new technological and user-centred challenges. In this paper we present the GroupRecoPF platform providing developers with support for building scalable and user-friendly group recommender systems. It leverages on advanced concepts for group recommendation merging strategy exploration, performance optimisation, session persistence and mobility, as well as open interfaces.
Keywords :
decision making; recommender systems; user centred design; GroupRecoPF platform; group decision process; group recommender system; open interface; user centred challenge; Collaboration; Merging; Motion pictures; Prediction algorithms; Recommender systems; Servers; Distribution; Group Recommender Platform; Recommender Algorithms; Scalability;
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2011 19th Euromicro International Conference on
Conference_Location :
Ayia Napa
Print_ISBN :
978-1-4244-9682-2
DOI :
10.1109/PDP.2011.78
