Computing Taste : Algorithms and the Makers of Music Recommendation /

Meet the people who design the algorithms that capture our musical tastes. The people who make music recommender systems have lofty goals: they want to broaden listeners' horizons and help obscure musicians find audiences, taking advantage of the enormous catalogs offered by companies like Spot...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Seaver, Nick (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chicago : University of Chicago Press, [2022]
Temas:
Music > Philosophy and aesthetics.
Music > Social aspects.
Recommender systems (Information filtering)
COMPUTERS / General.
music recommender systems, technology, algorithm, listeners, musicians, data, pandora, apple, spotify, profiles, users, listening, curation, nonfiction, anthropology, care, captivation, machine learning, calculation, cosmology, database, habit, range, obscurity, celebrity, streaming, commerce, capitalism, songs, artificial intelligence, engineering, computer science, appreciation, programming.
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