Computing Taste: Algorithms and the Makers of Music Recommendation.

"Computing Taste: Algorithms and the Makers of Music Recommendation" by Nick Seaver is a book that explores the relationship between machine-learning systems and the humans who design and supervise them. It challenges the idea that algorithms are completely autonomous and emphasizes the role of huma...

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Publicado en:Notes Vol. 80; no. 4; pp. 645 - 649
Autor principal: AGUGLIARO, SIEL
Formato: Book Review
Publicado: Music Library Association Inc. Jun2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Computing Taste: Algorithms and the Makers of Music Recommendation.
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        au: AGUGLIARO, SIEL
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          Università di Pisa
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        Computing Taste: Algorithms & the Makers of Music Recommendation (Book)
        Seaver, Nick
        Recommender systems
        Algorithms
        Music
        Nonfiction
      sug:
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          Computing Taste: Algorithms & the Makers of Music Recommendation (Book)
          Seaver, Nick
          Recommender systems
          Algorithms
          Music
          Nonfiction
      ab: "Computing Taste: Algorithms and the Makers of Music Recommendation" by Nick Seaver is a book that explores the relationship between machine-learning systems and the humans who design and supervise them. It challenges the idea that algorithms are completely autonomous and emphasizes the role of human intervention and cultural intuition in music recommendation systems. The book also addresses issues like music overload, user captivation, and user profiling based on interactions with streaming platforms. It provides a nuanced understanding of the complex dynamics between technology and human decision-making in the music industry, making it a valuable resource for scholars in music and anthropology. It encourages interdisciplinary dialogue between information technology and the humanities, making it a useful tool for researchers.
      pubtype: Review
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    language: English
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