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Order, context and popularity bias in next-song recommendations
2019
International Journal of Multimedia Information Retrieval
The availability of increasingly larger multimedia collections has fostered extensive research in recommender systems. Instead of capturing general user preferences, the task of next-item recommendation focuses on revealing specific session preferences encoded in the most recent user interactions. This study focuses on the music domain, particularly on the task of music playlist continuation, a paradigmatic case of next-item recommendation. While the accuracy achieved in next-song
doi:10.1007/s13735-019-00169-8
fatcat:pc3jefk2afanfit2ruk4ib2cma