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

Author:   Mattias Frey
Publisher:   University of California Press
ISBN:  

9780520382381


Pages:   282
Publication Date:   05 October 2021
Format:   Hardback
Availability:   Out of stock   Availability explained
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Netflix Recommends: Algorithms, Film Choice, and the History of Taste


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Overview

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 are novel, effective, and widely used methods to choose films and series. 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 alarming as their celebrants and critics maintain—and neither as trusted nor widely used. Netflix Recommends illustrates 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.

Full Product Details

Author:   Mattias Frey
Publisher:   University of California Press
Imprint:   University of California Press
Dimensions:   Width: 15.20cm , Height: 2.30cm , Length: 22.90cm
Weight:   0.499kg
ISBN:  

9780520382381


ISBN 10:   0520382382
Pages:   282
Publication Date:   05 October 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Acknowledgments Introduction 1 * Why We Need Film and Series Suggestions 2 * How Algorithmic Recommender Systems Work 3 * Developing Netflix's Recommendation Algorithms 4 * Unpacking Netflix's Myth of Big Data 5 * How Real People Choose Films and Series Afterword: Robot Critics vs. Human Experts Appendix. Designing the Empirical Audience Study Notes Selected Bibliography Index

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Author Information

Mattias Frey is Professor of Film, Media, and Culture at the University of Kent and the author or coeditor of seven books, including The Permanent Crisis of Film Criticism and Film Criticism in the Digital Age.

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