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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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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:
Multiple Signal Classification
Sociotechnical systems
Algorithms
Recommender systems
Human beings
Bitterness (Taste)
Acceso en línea:Ver este registro en EBSCOhost
Sumario: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)