Reinforcement Learning for Personalization at Spotify with Tony Jebara - 609

In this interview, we explore how Spotify has reinforced its personalized recommendations with reinforcement learning.
Today we continue our NeurIPS 2022 series joined by Tony Jebara, VP of engineering and head of machine learning at Spotify. In our conversation with Tony, we discuss his role at Spotify and how the company’s use of machine learning has evolved over the last few years, and the business value of machine learning, specifically recommendations, hold at the company.
We dig into his talk on the intersection of reinforcement learning and lifetime value (LTV) at Spotify, which explores the application of offline RL for user experience personalization. We discuss the various papers presented in the talk, and how they all map toward determining and increasing a user’s LTV.
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[@bobwegner8538]

Great episode, thanks. Do you have a link to the picture referenced at 14:45?

[@kv_andy]

Exactly what I was looking for. Which platform you yse mostly for reaching new audience?