Informing the design of group recommender systems
CHI '12 Extended Abstracts on Human Factors in Computing Systems
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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.