Multi-Criteria Recommender Systems [chapter]

Gediminas Adomavicius, YoungOk Kwon
2015 Recommender Systems Handbook  
This chapter aims to provide an overview of the class of multi-criteria recommender systems. First, it defines the recommendation problem as a multi-criteria 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.
more » ... review of current algorithms that use multicriteria 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.
doi:10.1007/978-1-4899-7637-6_25 fatcat:sqvrygjkarci3iugg6dn6n5xym