This chapter explores the challenges and innovations in developing podcast recommendation systems by drawing parallels with music. It emphasizes the role of machine learning and contextual awareness in improving recommendations, along with recent significant technological advancements.
On this episode of The Vergecast, we look at why TV and movie recommendations are so complicated, and whether AI might be able to make them better. If Spotify can build infinite playlists of music you’ll like, and YouTube and TikTok always seem to have the perfect thing ready to go, why can’t Netflix or Hulu or Max seem to get it right?
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