Netflix Recommends

Netflix Recommends
Author: Mattias Frey
Publisher: Univ of California Press
Total Pages: 282
Release: 2021-10-05
Genre: BUSINESS & ECONOMICS
ISBN: 0520382048

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Introduction -- Why we need film and series suggestions -- How algorithmic recommender systems work -- Cracking the code, part I : developing Netflix's recommendation algorithms -- Cracking the code, part II : unpacking Netflix's myth of big data -- How real people choose films and series -- Afterword : robot critics vs. human experts -- Appendix : designing the empirical audience study.


Netflix Recommends
Language: en
Pages: 282
Authors: Mattias Frey
Categories: Social Science
Type: BOOK - Published: 2021-10-05 - Publisher: Univ of California Press

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Algorithmic recommender systems, deployed by media companies to suggest content based on users’ viewing histories, have inspired hopes for personalized, curat
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