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Published online by Cambridge University Press: 30 August 2019
Music streaming platforms are determinant of the listening experience today. Their ability to profile users and to predict behaviours and tastes is key as their business-models are based on the loyalty of users. Drawing on a study of The Echo Nest, a music recommendation engine acquired by Spotify in 2014, which claimed to combine the analysis of the music signal with monitoring of consumer behaviour via the collection of their data for the first time, this essay interrogates automatic taste-profiling as a transformation of the philosophical concept of taste, opening up new perspectives on music and language.
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