- We will send in 10–14 business days.
/images/books/14897686/9781009447508.jpg)
- Author: Zhe Wang
- Publisher: Cambridge University Press
- ISBN-10: 1009447505
- ISBN-13: 9781009447508
- Format: 17 x 24.4 x 1.7 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 22d.17:58:16
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Zhe Wang
- Publisher: Cambridge University Press
- ISBN-10: 1009447505
- ISBN-13: 9781009447508
- Format: 17 x 24.4 x 1.7 cm, minkšti viršeliai
- Language: English English
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.
Reviews