
✨ Featured Offer
Brand New
$21.85
List Price: $20.00
🚚
See all 5 offers from $11.97 FREE standard delivery by: 31 Mar 2026
Overview
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 Spotify, Apple Music, and Pandora. But for their critics, recommender systems seem to embody all the potential harms of algorithms: they flatten culture into numbers, they normalize ever-broadening data collection, and they profile their users for commercial ends. Drawing on years of ethnographic fieldwork, anthropologist Nick Seaver describes how the makers of music recommendation navigate these tensions: how product managers understand their relationship with the users they want to help and to capture; how scientists conceive of listening itself as a kind of data processing; and how engineers imagine the geography of the world of music as a space they care for and control.
Computing Taste rehumanizes the algorithmic systems that shape our world, drawing attention to the people who build and maintain them. In this vividly theorized book, Seaver brings the thinking of programmers into conversation with the discipline of anthropology, opening up the cultural world of computation in a wide-ranging exploration that travels from cosmology to calculation, myth to machine learning, and captivation to care.
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 Spotify, Apple Music, and Pandora. But for their critics, recommender systems seem to embody all the potential harms of algorithms: they flatten culture into numbers, they normalize ever-broadening data collection, and they profile their users for commercial ends. Drawing on years of ethnographic fieldwork, anthropologist Nick Seaver describes how the makers of music recommendation navigate these tensions: how product managers understand their relationship with the users they want to help and to capture; how scientists conceive of listening itself as a kind of data processing; and how engineers imagine the geography of the world of music as a space they care for and control.
Computing Taste rehumanizes the algorithmic systems that shape our world, drawing attention to the people who build and maintain them. In this vividly theorized book, Seaver brings the thinking of programmers into conversation with the discipline of anthropology, opening up the cultural world of computation in a wide-ranging exploration that travels from cosmology to calculation, myth to machine learning, and captivation to care.
| ISBN-13 | 9780226822976 |
|---|---|
| ISBN-10 | 0226822974 |
| Weight | 0.69 Pounds |
| Dimensions | 6.00 x 0.60 x 9.00 In |
| List Price | $20.00 |
| Edition | 1st Edition |
| Format | Paperback |
|---|---|
| Language | English |
| Pages | 224 pages |
| Publisher | University of Chicago Press |
| Published On | 2022-12-06 |
View All Offers
Sort by:
Price
Condition
Seller
Seller Comments
Price
Used, Good
Seller details
Midtown Scholar Bookstore
Harrisburg, PA, USA
Good-Bumped and creased book with tears to the extremities, but not affecting the text block, may ha...
Free delivery by: 31 Mar 2026
Used, Very Good
Seller details
HPB-Emerald
Dallas, TX, USA
Connecting readers with great books since 1972! Used books may not include companion materials, and ...
Free delivery by: 31 Mar 2026
✨ Brand New
Seller details
indoo.com
Avenel, NJ, USA
9780226822976.
Free delivery by: 31 Mar 2026
Brand New
Seller details
Alibris
Sparks, NV, USA
Trade paperback (US). Glued binding. 224 p. Contains: Illustrations.
Free delivery by: 31 Mar 2026
Brand New
Seller details
GreatBookPrices-
Columbia, MD, USA
100% Money Back Guarantee. Brand New, Perfect Condition. We offer expedited shipping to all US locat...
Free delivery by: 31 Mar 2026