Music Recommender Systems

TitleMusic Recommender Systems
Publication TypeBook Chapter
Year of Publication2015
AuthorsSchedl, M., Knees P., McFee B., Bogdanov D., & Kaminskas M.
Book TitleRecommender Systems Handbook
PublisherSpringer
Corporate AuthorFrancesco Ricci, Lior Rokach, & Bracha Shapira
Pages453-492
Edition2
AbstractThis 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 Publicationhttp://www.springer.com/us/book/9781489976369
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