Li D Recommender Systems Frontiers and Practices 2024
General:
Name: Li D Recommender Systems Frontiers and Practices 2024
Format: pdf
Size: 10.11 MB
Book:
Title: Recommender Systems
Author: Dongsheng Li, Jianxun Lian, Le Zhang, Kan Ren, Tun Lu
Language: angielski
Year: 2024
Subjects: Computers, Computers – General & Miscellaneous, Information Systems, Information Storage and Retrieval
Publisher: Springer-Verlag New York, LLC
ISBN: 9789819989645
Total pages: 292
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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