Computing Taste: Algorithms and the Makers of Music Recommendation

Computing Taste: Algorithms and the Makers of Music Recommendation By Seaver, Nick Published by University of Chicago Press Publication Date: 2022-12-06 Subject: Algorithms & Data Structures, Music: Styles & Genres, Computers Social Aspects, Computers, Social Aspects, Computers Programming Algorithms, Programming, Algorithms, Music General, Music, General, Algorithms And Data Structures, Music: Styles And Genres, Music - Philosoophy And Aesthetics, Recommender Systems Information Filtering, Music - Social Aspects, Anf: Computers And It, Computers Programming Algorithms, Computers Social Aspects, Computers Programming - Algorithms, Computers Social Aspects, Music General, Music Instruction & Study - Appreciation, Algorithms & Data Structures, Music: Styles & Genres, Algorithms And Data Structures, Music: Styles And Genres Subject Keywords: anthropology; music recommender systems; technology; algorithm; listeners; musicians; data; pandora; apple; spotify; profiles; users; listening; curation; nonfiction; care; captivation; machine learning; calculation; cosmology; database; habit; range; obscurity; celebrity; streaming; commerce; capitalism; songs; artificial intelligence; engineering; computer science; appreciation; programming Genre: Algorithms & Data Structures, Music: Styles & Genres, Computers, Social Aspects, Computers, Programming, Algorithms, Music, General, Algorithms And Data Structures, Music: Styles And Genres Target Audience: Professional and scholarly