Spotify developed a method to adapt large language models for personalized content recommendations by introducing Semantic IDs—compact tokens that encode relationships between catalog items and user behaviors. The approach involves building catalog-native representations from textual and behavioral signals, aligning these with

15m read timeFrom research.atspotify.com
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Table of contents
A Spotify catalog-native vocabulary for LLMsDomain Specific Training: Learning personalization tasksEvaluating LLMs that speak SpotifyScalingServingConclusionAcknowledgments

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