Frontier Practice of Deep Learning Recommender Systems
Zhe Wang, Chao Pu, Felice Wang · Cambridge University Press eBooks · 2025
This chapter explores the integration of deep learning in recommender systems, highlighting its significance as a leading application area with substantial business value. We examine notable advancements driven by industry leaders like Meta, Google, Airbnb, and Alibaba. These innovations mark a transformative shift toward deep learning in recommender systems, evidenced by Alibaba’s ongoing innovations in e-commerce and Airbnb’s applications in search and recommendation. For aspiring recommender system engineers, the current era of open-source code and knowledge sharing provides unparalleled access to cutting-edge applications and insights from industry pioneers. This chapter aims to build a foundational understanding of deep learning recommender systems developed by Meta, Airbnb, YouTube, and Alibaba, encouraging readers to focus on technical details and engineering practices for practical application.