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Published in:
2011 | OriginalPaper | Chapter
Multi-Criteria Recommender Systems
Authors : Gediminas Adomavicius, Nikos Manouselis, YoungOk Kwon
Published in: Recommender Systems Handbook
Publisher: Springer US
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This chapter aims to provide an overview of the class of multi-criteria recommender systems. First, it defines the recommendation problem as a multicriteria decision making (MCDM) problem, and reviews MCDM methods and techniques that can support the implementation of multi-criteria recommenders. Then, it focuses on the category of
multi-criteria rating recommenders
– techniques that provide recommendations by modelling a user’s utility for an item as a vector of ratings along several criteria. A review of current algorithms that use multi-criteria ratings for calculating predictions and generating recommendations is provided. Finally, the chapter concludes with a discussion on open issues and future challenges for the class of multi-criteria rating recommenders.