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Personal Take: - Can Machines Have Taste?

Published online by Cambridge University Press:  30 August 2019

By
Stéphan-Eloïse Gras
Edited by
Nicholas Cook ,
Monique M. Ingalls  and
David Trippett
Nicholas Cook
Affiliation:
University of Cambridge
Monique M. Ingalls
Affiliation:
Baylor University, Texas
David Trippett
Affiliation:
University of Cambridge
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Summary

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.

Keywords

music streamingrecommendation algorithmsmusic information retrievaltaste-profilingtaste
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Chapter
Information
The Cambridge Companion to Music in Digital Culture , pp. 86 - 88
Publisher: Cambridge University Press
Print publication year: 2019

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