Cutting-Edge Developments in Recommender Systems

Explore the latest research and developments in recommender systems, focusing on AI and machine learning advancements, privacy, and ethical considerations.

Mar 30, 2:00 – 3:00 PM


Key Themes

Build with AIMachine Learning

About this event

AI and Machine Learning Innovations

  • Use of deep learning and reinforcement learning in recommendations
  • GANs for generating synthetic user profiles for testing

Personalization and User Experience

  • Techniques for personalizing recommendations at scale
  • Balancing exploration and exploitation

Privacy and Ethics

  • User data privacy concerns
  • Ethical considerations in personalized recommendations
  • Bias and fairness in recommender systems

Emerging Trends and Future Directions

  • Federated learning for privacy-preserving recommendations
  • Quantum computing's potential impact on recommender systems
  • Cross-domain recommendation systems

Case Study Discussion


  • Gregory McGann

    GDG Oxford

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