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Deep Learning Recommender Systems

Deep Learning Recommender Systems

Paperback (22 May 2025)

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Publisher's Synopsis

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.

About the Publisher

Cambridge University Press

Cambridge University Press dates from 1534 and is part of the University of Cambridge. We further the University's mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence.

Book information

ISBN: 9781009447508
Publisher: Cambridge University Press
Imprint: Cambridge University Press
Pub date:
DEWEY: 025.04
DEWEY edition: 23
Language: English
Number of pages: 313
Weight: 542g
Height: 169mm
Width: 245mm
Spine width: 20mm