Spotify's recommendation algorithm uses a mix of collaborative filtering, natural language processing, and audio analysis. Collaborative filtering analyzes user listening habits and playlists to suggest songs enjoyed by similar users. Natural language processing scans online content to understand trends and sentiments about music. Audio analysis categorizes songs by features like tempo and genre. These methods combine to create personalized playlists like Discover Weekly and Daily Mixes, tailored to individual user preferences.

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