Items related to Deep Learning Recommender Systems
Synopsis
Discover cutting-edge applications of deep learning in recommender systems, one of the main monetization methods of the Internet.
"synopsis" may belong to another edition of this title.
About the Authors
Zhe Wang is an engineering director at Disney Streaming, leading a machine learning team. He has more than ten years of experience working in the field of recommender systems and computational advertising. He has published more than ten academic papers and three technical books, with more than 100,000 readers.
Chao Pu is a machine learning engineer with extensive experience in scalable machine learning system at large scale IT companies. He has designed, developed, operated and optimized multiple recommendation systems that serve millions of customers.
Felice Wang is a data scientist with a wealth of experience of creating analytics models, such as predicting customer retention and optimizing price. She has also implemented machine learning techniques to build data-driven resolutions for various business circumstances.
"About this title" may belong to another edition of this title.
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Deep Learning Recommender Systems
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Cambridge University Press, United Kingdom, Cambridge, 2025
ISBN 10: 1009447505
ISBN 13: 9781009447508
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Paperback. Condition: Very Good. 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Seller Inventory # GOR015111468
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Deep Learning Recommender Systems
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ISBN 10: 1009447505
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Deep Learning Recommender Systems
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Deep Learning Recommender Systems
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Deep Learning Recommender Systems
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ISBN 10: 1009447505
ISBN 13: 9781009447508
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Deep Learning Recommender Systems
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ISBN 10: 1009447505
ISBN 13: 9781009447508
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Paperback. Condition: New. 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. Seller Inventory # LU-9781009447508
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Deep Learning Recommender Systems
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Cambridge University Press, GB, 2025
ISBN 10: 1009447505
ISBN 13: 9781009447508
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Paperback. Condition: New. 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. Seller Inventory # LU-9781009447508
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Deep Learning Recommender Systems (Paperback)
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Paperback. Condition: new. Paperback. 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. Recommender systems are ubiquitous in our lives and are one of the main monetization methods of the Internet. This book explores how to apply deep learning technology in recommender systems, helping practitioners and researchers to understand the engineering implementation solutions of industry giants and cutting-edge progress in the field. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781009447508
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Deep Learning Recommender Systems
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Deep Learning Recommender Systems
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