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books
| book details |
Deep Learning Recommender Systems
By (author) Zhe Wang, By (author) Chao Pu, By (author) Felice Wang
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This book is currently unavailable. Enquire to check if we can source a used copy
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| book description |
Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to grips with this cutting-edge field and build the thorough understanding and practical skills needed to progress in the area. It not only introduces the applications of deep learning and generative AI for recommendation models, but also focuses on the industry architecture of the recommender systems. The authors include a detailed discussion of the implementation solutions used by companies such as YouTube, Alibaba, Airbnb and Netflix, as well as the related machine learning framework including model serving, model training, feature storage and data stream processing.
| product details |
Normally shipped |
Publisher | Cambridge University Press
Published date | 14 May 2025
Language |
Format | Digital download and online
Pages | 0
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-0094-4747-8
Readership Age |
BISAC | computers / database management / general
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| specials |
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Carlo Rovelli
Paperback / softback
224 pages
was: R 295.95
now: R 265.95
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Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).
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Carlo Rovelli
Paperback / softback
208 pages
was: R 295.95
now: R 265.95
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