tldr - powered by Generative AI

• Online adaptive learning is important for quickly adapting to user needs
• Great data is necessary for building a machine learning recommendation engine
• Understanding user journeys and causal impact is important for effective recommendations
• Long-term metrics, predictive metrics, and short-term metrics are all important for measuring success
• Privacy and fairness are ongoing challenges for the ML community
• Explainability is important for user control and understanding of recommendations