Embeat is an open-source music recommendation system that uses contrastive learning on Spotify acoustic features and multi-channel recall to deliver millisecond-level, genre-aware recommendations across 45 million tracks.
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2026-07-03
It combines a learned acoustic similarity model with genre filtering and playlist collaborative filtering, achieving strong blind-evaluation results against a major commercial service (Netease Cloud Music) while maintaining 30–100ms retrieval latency.
Content-based music recommendation system, training on Spotify 45M tracks & 1.8M playlists.
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