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Deep Learning Recommender Systems
Taschenbuch von Zhe Wang (u. a.)
Sprache: Englisch

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Beschreibung
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 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.
Über den Autor
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.
Inhaltsverzeichnis
1. Growth engine of the internet - recommender system; 2. Pre-deep learning era-the evolution of recommender systems; 3. Top of the tide - application of deep learning in recommendation system; 4. Application of embedding technology in recommender systems; 5. Recommender systems from multiple perspectives; 6. Engineering implementations in deep learning recommender systems; 7. Evaluation in recommender systems; 8. Frontier practice of deep learning recommender system; 9. Build your own recommender system knowledge framework; Afterword.
Details
Erscheinungsjahr: 2025
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781009447508
ISBN-10: 1009447505
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Wang, Zhe
Pu, Chao
Wang, Felice
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 244 x 170 x 17 mm
Von/Mit: Zhe Wang (u. a.)
Erscheinungsdatum: 14.04.2025
Gewicht: 0,545 kg
Artikel-ID: 130516453
Über den Autor
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.
Inhaltsverzeichnis
1. Growth engine of the internet - recommender system; 2. Pre-deep learning era-the evolution of recommender systems; 3. Top of the tide - application of deep learning in recommendation system; 4. Application of embedding technology in recommender systems; 5. Recommender systems from multiple perspectives; 6. Engineering implementations in deep learning recommender systems; 7. Evaluation in recommender systems; 8. Frontier practice of deep learning recommender system; 9. Build your own recommender system knowledge framework; Afterword.
Details
Erscheinungsjahr: 2025
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781009447508
ISBN-10: 1009447505
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Wang, Zhe
Pu, Chao
Wang, Felice
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 244 x 170 x 17 mm
Von/Mit: Zhe Wang (u. a.)
Erscheinungsdatum: 14.04.2025
Gewicht: 0,545 kg
Artikel-ID: 130516453
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