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March 22, 2026Digital humanities quarterly0 citationsOpen Access

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

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JPJacob Pleasants

Key Points

  • The aim is to understand the role of technologists in designing music recommendation algorithms and their relationship with taste and computation.
  • Anthropological study of technologists designing algorithmic music recommendation systems
  • Analysis of their perspectives on music and taste
  • Examination of the design approaches used in technology
  • Highlights the importance of human perspectives in technology design
  • Finds that algorithms should be viewed as sociotechnical systems
  • Demonstrates the complexity of music tastes in relation to computational strategies

Abstract

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.

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Cite This Study

Jacob Pleasants (2024) studied this question.

synapsesocial.com/papers/69bf3955c7b3c90b18b43ea1https://doi.org/10.63744/8g4swd7ue9uq
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Computing Taste: Algorithms and the Makers of Music Recommendation by Nick Seaver (review)2024
  2. 2Music Streaming as a Mediated Process: Algorithms and Assets2026
  3. 3Social music discovery: an ethical recommendation system based on friend’s preferred songs2024 · 7 citations
  4. 4HUMMUS: A Human-Centered Approach to Sequential Recommendation Explainability through Data Humanism2025
  5. 5Investigating the working principle of the recommending system and designing a personal music recommending system2024