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1 results

  • 8 - Frontier Practice of Deep Learning Recommender Systems

  • Zhe Wang, Chao Pu, Felice Wang
  • Book:
    Deep Learning Recommender Systems
    Published online:
    08 May 2025
    Print publication:
    22 May 2025, pp 248-282

  • Summary

    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.