Product Information
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.Product Identifiers
PublisherUniversity of California Press
ISBN-139780520382381
eBay Product ID (ePID)10049052253
Product Key Features
Number of Pages282 Pages
LanguageEnglish
Publication NameNetflix Recommends: Algorithms, Film Choice, and the History of Taste
Publication Year2021
SubjectMedia Studies, Computer Science, Business
TypeTextbook
AuthorMattias Frey
FormatHardcover
Dimensions
Item Height229 mm
Item Weight499 g
Additional Product Features
Country/Region of ManufactureUnited States
Title_AuthorMattias Frey