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Netflix recommends : algorithms, film choice, and the history of taste / Mattias Frey. by Publisher: Oakland, California : University of California Press, ©2021Copyright date: ©2021
Availability: Items available for loan: Alfaisal University (1)Location, call number: On Shelf HD9697.V544 N48236 2021.

2. eBooks
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3. eBooks
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Recommender systems / edited by G�erald Kembellec, Ghislaine Chartron, Imad Saleh. by Publisher: London, [England] ; Hoboken, New Jersey : ISTE Limited : John Wiley & Sons, 2014Copyright date: �2014
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Deep reinforcement learning and GANS Livelessons / Dr. Jon Krohn. by Series: LiveLessonsPublisher: [Place of publication not identified] : Pearson, [2018]
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  • Deep reinforcement learning and Generative Adversarial Networks Livelessons
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Building practical recommendation engines. Part 1 / Suresh Kumar Gorakala. by Publisher: [Place of publication not identified] : Packt Publishing, [2017]
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Building practical recommendation engines. Part 2 / Suresh Kumar Gorakala. by Publisher: [Place of publication not identified] : Packt Publishing, [2017]
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Learning path : build your own recommendation engines. by Publisher: [Place of publication not identified] : Packt Publishing, [2017]
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  • Build your own recommendation engines
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17. eBooks
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Advances in information systems set. Volume 4, Information and recommender systems / Elsa Negre. by Series: Information systems, web and pervasive computing seriesPublisher: London : ISTE Ltd ; Hoboken, NJ : John Wiley & Sons, 2015
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  • Information and recommender systems
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