October 28–31, 2019
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Personalization of Spotify Home and TensorFlow

Tony Jebara (Spotify)
9:05am9:15am Thursday, October 31, 2019
Location: Mission City Ballroom
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With over 230 million users each month, Spotify’s home screen represents one of the application’s most valuable assets. However, producing a meaningful experience on Home that’s both diversified and personalized is particularly challenging.

Tony Jebara explains how Spotify improved user satisfaction with Home by building various components of the TFX ecosystem into its core ML infrastructure.

Photo of Tony Jebara

Tony Jebara


Tony Jebara is the head of machine learning and vice president of engineering at Spotify. Previously, Tony was the director of machine learning at Netflix, where he launched improvements to its personalization algorithms. He’s also a professor (on leave) at Columbia University and holds a PhD from MIT.

  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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