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Design a music recommendation system similar to Spotify's Discover Weekly. The system recommends songs, artists, and playlists based on listening history, audio features, and collaborative signals. Music recommendation uniquely involves sequential consumption (playlists) and strong mood/context dependencies. Key features: Personalized song recommendations based on listening history. Automated playlist generation (Discover Weekly, Daily Mixes).
Users
500M
Tracks
100M
Listening events/day
5B
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