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.
This material is based on works supported by Science Foundation Ireland under Grant No. 03/IN.3/I361.
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McCarthy, K., McGinty, L., Smyth, B., Salamó, M. (2006). The Needs of the Many: A Case-Based Group Recommender System. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds) Advances in Case-Based Reasoning. ECCBR 2006. Lecture Notes in Computer Science(), vol 4106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11805816_16
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DOI: https://doi.org/10.1007/11805816_16
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