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

$75.06

Publisher: University of California Press

Author: Mattias Frey

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.
ISBN: 9780520382381
Publisher: University of California Press
Imprint: University of California Press
Published date:
DEWEY: 384.5554
DEWEY edition: 23
Language: English
Number of pages: viii, 273
Weight: 506g
Height: 165mm
Width: 237mm
Spine width: 24mm

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