深度学习推荐系统2.0：算法、工程与大模型协同创新
by Wang Zhe
An in-depth resource on deep learning recommender systems, detailing algorithms, engineering strategies, and the impact of large models on modern recommendation technology.
About This Book
This book explores the integration of deep learning techniques with recommendation systems.
It examines algorithmic advancements and their practical applications in engineering contexts.
The text also discusses the role of large models in enhancing recommendation performance.
Readers will gain insights into collaborative innovation between algorithms and large-scale models.
Reviews
No reviews yet. Be the first to review this book!