The needs of the many: a case-based group recommender system

Authors:
Kevin McCarthy;Lorraine McGinty;Barry Smyth;Maria Salamó
Affiliations:
Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin, Dublin 4, Ireland;Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin, Dublin 4, Ireland;Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin, Dublin 4, Ireland;Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin, Dublin 4, Ireland
Venue:
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Year:
2006

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Abstract

While much of the research in the area of recommender systems has focused on making recommendations to the individual, many recommendation scenarios involve groups of inter-related users. In this paper we consider the challenges presented by the latter scenario. We introduce a (case-based) group recommender designed to meet these challenges through a variety of recommendation features, including the generation of reactive and proactive suggestions based on user feedback in the form of critiques, and demonstrate its effectiveness through a live-user case-study.