DocumentCode
2806612
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
fYear
2011
fDate
9-11 Feb. 2011
Firstpage
293
Lastpage
300
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel, Distributed and Network-Based Processing (PDP), 2011 19th Euromicro International Conference on
Conference_Location
Ayia Napa
ISSN
1066-6192
Print_ISBN
978-1-4244-9682-2
Type
conf
DOI
10.1109/PDP.2011.78
Filename
5739001
Link To Document