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Music Recommender Systems

Title Music Recommender Systems
Publication Type Book Chapter
Year of Publication 2015
Authors Schedl, M. , Knees P. , McFee B. , Bogdanov D. , & Kaminskas M.
Book Title Recommender Systems Handbook
Publisher Springer
Corporate Author Francesco Ricci , Lior Rokach , & Bracha Shapira
Pages 453-492
Edition 2
Abstract This chapter gives an introduction to music recommender systems research. We highlight the distinctive characteristics of music, as compared to other kinds of media. We then provide a literature survey of content-based music recommendation, contextual music recommendation, hybrid methods, and sequential music recommendation, followed by overview of evaluation strategies and commonly used data sets. We conclude by pointing to the most important challenges faced by music recommendation research.
Original Publication http://www.springer.com/us/book/9781489976369