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Recommender Systems

By Dongsheng Li

Recommender Systems Computer Science

Recommender Systems

By Dongsheng Li

0 - Default Title
Description
This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algorithms, and analyzes their advantages and limitations. Then, it addresses the fundamentals of deep learning, focusing on the deep-learning-based technology used, and analyzes problems arising in the theory and practice of recommender systems, helping readers gain a deeper understanding of the cutting-edge technology used in these systems. Lastly, it shares practical experience with Microsoft 's open source project Microsoft Recommenders. Readers can learn the design principles of recommendation algorithms using the source code provided in this book, allowing them to quickly build accurate and efficient recommender systems from scratch.
Product details
Binding:
Paperback
Number of Pages:
296
Release Date:
2025-03-27
Publication Date:
2025-03-27
Publisher:
Springer
Languages:
Original: English
ISBN10:
9819989663
ISBN13:
9789819989669
GPSR Manufacturer Reference:
[email protected]
Weight:
452 g
Height:
155 cm
Width:
235 cm
Thickness:
17 cm
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