ENGLISH

Recommender Systems: Frontiers and Practices

By Tao Wu , Tun Lu , Dongsheng Li , Le Zhang , Jianxun Lian , Kan Ren , Xing Xie

Book information

Publisher
Springer
Year
2024
ISBN
9819989639, 9789819989638
Language
english
Format
PDF
Filesize
10 MB (10597062 bytes)
Edition
2024
Pages
296\292
Time added
2024-04-21 01:12:15

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.

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