Personalization of Spotify Home and TensorFlow
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.
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.
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