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Deep Learning Recommender Systems PDF

314 Pages·25 MB·English
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by Zhe Wang| 314 pages| 25| English

About Deep Learning Recommender Systems

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. Although the book will intersperse the -introduction of basic Machine Learning knowledge, most of the content assumes that readers have some Machine Learning background.

Detailed Information

Author:Zhe Wang
Pages:314
Language:English
File Size:25
Format:PDF
Price:FREE
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