This chapter explores the complexities of AI-driven movie and show recommendations, highlighting the subjective nature of personal viewing preferences. It discusses the challenges faced by recommendation systems in understanding audience tastes and the role of emotional context in choices. The conversation also emphasizes the future potential of AI to provide more nuanced and personalized suggestions for viewers.
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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