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Deep Learning Recommender Systems

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.


Editorial Reviews

Review

‘Recommender systems hold immense commercial value, and deep learning is taking them to the next level. This book focuses on real-world applications, equipping engineers with the tools to build smarter, more effective recommendation systems. With a clear and practical approach, this book is an essential guide to mastering the latest advancements in the field.’ Yue Zhuge, NGP Capital

‘Reading this book allows you to witness the wealth of resources and engineering practices driving recommendation system development. The authors share unique insights into bridging academic research and industry applications, providing valuable technical perspectives for practitioners and students. The book emphasizes innovative thinking and inspires readers to develop new solutions in recommendation system technologies.’ Zi Yang, Google DeepMind

Book Description

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

Details:

Deep Learning Recommender Systems

Product ID: U1009447505
Condition: New

BHD4044

Price includes VAT & Import Duties
Type: Paperback
Availability: In Stock

Quantity:

|

Order today to get by 7-14 business days

This item qualifies for free delivery

Returns & Warranty policies

Imported From: United States

At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.

Every product in the BOLO catalogue is sourced through our Verified Global Supply Network of verified sellers, authorized distributors or directly from the manufacturer.

Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.

If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.

Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.

While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.

Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.

BOLO operates in accordance with the laws and regulations of Bahrain. Any items found to be restricted or prohibited for sale within the Bahrain will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in Bahrain are listed on our website.

All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.

All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.

Similar suggestions by Bolo

Deep Learning Recommender Systems

Product ID: U1009447505
Condition: New
Deep Learning Recommender Systems-0
Type: Paperback

BHD4044

Price includes VAT & Import Duties
Availability: In Stock

Quantity:

|

Order today to get by 7-14 business days

This item qualifies for free delivery

Returns & Warranty policies

Imported From: United States

At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.

Every product in the BOLO catalogue is sourced through our Verified Global Supply Network of verified sellers, authorized distributors or directly from the manufacturer.

Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.

If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.

Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.

While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.

Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.

BOLO operates in accordance with the laws and regulations of Bahrain. Any items found to be restricted or prohibited for sale within the Bahrain will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in Bahrain are listed on our website.

All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.

All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.

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.


Editorial Reviews

Review

‘Recommender systems hold immense commercial value, and deep learning is taking them to the next level. This book focuses on real-world applications, equipping engineers with the tools to build smarter, more effective recommendation systems. With a clear and practical approach, this book is an essential guide to mastering the latest advancements in the field.’ Yue Zhuge, NGP Capital

‘Reading this book allows you to witness the wealth of resources and engineering practices driving recommendation system development. The authors share unique insights into bridging academic research and industry applications, providing valuable technical perspectives for practitioners and students. The book emphasizes innovative thinking and inspires readers to develop new solutions in recommendation system technologies.’ Zi Yang, Google DeepMind

Book Description

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

Details:

Similar suggestions by Bolo