How playlist evaluation compares to track evaluations in music recommender systems

Autor: Hadash, Sophia, Liang, Yu, Willemsen, Martijn C., Brusilovsky, P., de Gemmis, M., Felfernig, A., Lops, P., O'Donovan, J., Semeraro, G., Willemsen, M.C.

Publikováno v: IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019: Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems (RecSys 2019) Copenhagen, Denmark, September 19, 2019, 1-9
STARTPAGE=1;ENDPAGE=9;TITLE=IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019

Most recommendation evaluations in music domain are focused on algorithmic performance: how a recommendation algorithm could predict a user's liking of an individual track. However, individual track rating might not fully reflect the user's liking of

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https://research.tue.nl/nl/publications/cd30ba70-b40a-4506-8fca-a96a2b357bca