Netflix Recommends - Algorithms, Film Choice, and the History of Taste (Paperback)

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.

General

Imprint:	University of California Press
Country of origin:	United States
Release date:	October 2021
First published:	2021
Authors:	Mattias Frey
Dimensions:	229 x 152 x 18mm (L x W x T)
Format:	Paperback
Pages:	282
ISBN-13:	978-0-520-38204-6
Categories:	Books > Arts & Architecture > General Books > Social sciences > General Books > Computing & IT > General Books > Business & Economics > Industry & industrial studies > Media, information & communication industries > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > Television technology
LSN:	0-520-38204-8
Barcode:	9780520382046

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