The Humans and Algorithms of Music Recommendation: A Review of Computing Taste (2022).

In Computing Taste , Nick Seaver conducts an anthropological study of the technologists who design algorithmic music recommendation systems. He explores their ways of thinking and talking about music, taste, and computation to better understand their technological design approaches. By highlighting...

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Detalles Bibliográficos
Publicado en:DHQ: Digital Humanities Quarterly Vol. 18; no. 2; pp. 1 - 5
Autor principal: Pleasants, Jacob
Formato: Artículo
Publicado: Digital Humanities Quarterly 2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        affil: University of Oklahoma
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        Multiple Signal Classification
        Sociotechnical systems
        Algorithms
        Recommender systems
        Human beings
        Bitterness (Taste)
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          Multiple Signal Classification
          Sociotechnical systems
          Algorithms
          Recommender systems
          Human beings
          Bitterness (Taste)
      keyword:
        algorithms
        anthropology
        sociotechnical systems
        technology studies
      ab: In Computing Taste , Nick Seaver conducts an anthropological study of the technologists who design algorithmic music recommendation systems. He explores their ways of thinking and talking about music, taste, and computation to better understand their technological design approaches. By highlighting the humans behind the machines, Computing Taste shows how to think about computer algorithms as sociotechnical systems. Jacob Pleasants publishes book review of The Humans and Algorithms of Music Recommendation: A Review of Computing Taste (2022)
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      doctype: Article
      src: R
    language: English
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