机器学习 : 因子分解机模型与推荐系统
by 燕彩蓉，潘乔
Explores factorization machine models and their use in recommender systems, providing technical foundations and algorithmic insights for machine learning practitioners.
About This Book
This book presents factorization machine models and their role in building recommendation systems.
It covers the mathematical foundations and algorithmic approaches used in modern machine learning applications.
Readers will find discussions on model construction, optimization techniques, and practical considerations for deploying these methods.
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