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Netflix Recommends: Algorithms, Film Choice, and the History of Taste PDF

282 Pages·2021·9.9207 MB·other
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by Mattias Frey| 2021| 282 pages| 9.9207| other

About Netflix Recommends: Algorithms, Film Choice, and the History of Taste

Algorithmic recommender systems, deployed by media companies to suggest content based on users’ viewing histories, have inspired hopes for personalized, curated media but also dire warnings of filter bubbles and media homogeneity. Curiously, both proponents and detractors assume that recommender systems for choosing films and series are novel, effective, and widely used. Scrutinizing the world’s most subscribed streaming service, Netflix, this book challenges that consensus. Investigating real-life users, marketing rhetoric, technical processes, business models, and historical antecedents, Mattias Frey demonstrates that these choice aids are neither as revolutionary nor as alarming as their celebrants and critics maintain—and neither as trusted nor as widely used. Netflix Recommends brings to light the constellations of sources that real viewers use to choose films and series in the digital age and argues that although some lament AI’s hostile takeover of humanistic cultures, the thirst for filters, curators, and critics is stronger than ever.

Detailed Information

Author:Mattias Frey
Publication Year:2021
ISBN:520382021
Pages:282
Language:other
File Size:9.9207
Format:PDF
Price:FREE
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