Spotify, with 500 million users, employs AI-driven personalized playlists, but faces criticism for algorithmic bias.

Its recommendation system involves collaborative and content-based filtering, mapping tracks based on user behavior and sonic characteristics

Human editors and AI DJs enhance recommendations, and the company explores reinforcement learning for diverse and improved suggestions.

Spotify, world's largest music streaming service, relies on AI for personalized playlists.

Recommendation system uses collaborative and content-based filtering to map tracks.

Algorithmic biases prompt scrutiny, with efforts towards fairness and transparency.

Human editors and AI DJs contribute to enriched recommendations.

Reinforcement learning explored for diverse and advanced music suggestions.

Biases exist, especially in cross-cultural and classical music analyses.

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