Deep Learning Recommender Systems

Name: Deep Learning Recommender Systems
Brand: Cambridge University Press
SKU: 9781009447508
Price: 9100 KES
Availability: InStock
ISBN: 9781009447508

by Chao Pu , Felice Wang , Zhe Wang

Book Details

Format Paperback / softback

ISBN-10 1009447505

ISBN-13 9781009447508

Publisher Cambridge University Press

Imprint Cambridge University Press

Country of Manufacture GB

Country of Publication GB

Publication Date May 22nd, 2025

Print length 313 Pages

Weight 548 grams

Dimensions 16.90 x 24.50 x 2.00 cms

Product Classification: Knowledge management Management of specific areas Knowledge management Sales & marketing Sales and marketing Machine learning Pattern recognition

KSh 9,100.00

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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.

Get Deep Learning Recommender Systems by Chao Pu, Felice Wang at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Cambridge University Press and it has 313 pages.