Deep Learning Recommender Systems

Discover cutting-edge applications of deep learning in recommender systems, one of the main monetization methods of the Internet.

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.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.