Reinforcement Learning for Personalization at Spotify with Tony Jebara
EPISODE 609
|
DECEMBER
29,
2022
Watch
Follow
Share
About this Episode
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.
About the Guest
Tony Jebara
Spotify
Resources
- 3rd Offline RL Workshop: Offline RL as a “Launchpad”
- Reinforcement Learning for Real-Life Workshop
- How Spotify is Navigating an Evolving ML Landscape with Hendrix Platform
- Team Teardown: Driving Platform Adoption and Success at Spotify
- How Spotify Does ML At Scale
- Separating Vocals in Recorded Music at Spotify with Eric Humphrey
