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G. Fazelnia

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#artificial intelligence Preprint Sep 2026

Textual User Taste: Natural-Language User Context for Foundation-Model Recommender System at Scale

Textual User Taste is presented, a system that generates structured natural-language taste profiles from listening behavior, interaction signals, content metadata, and optional user feedback, and deploys them to millions of Spotify users, revealing that taste profiles support positive natural-language steering, while e...

G. Fazelnia, Paul Gigioli, Eliza Klyce et al. · 0 citations
Book Open access Aug 2026

From Habits to Discovery: Deploying LLMs for Personalized Generative Recommendations at Spotify

GLIDE is a production-scale generative recommender for podcast discovery at Spotify that increases non-habitual podcast streaming on Spotify home surface by up to 5.4% and new-show discovery by up to 14.3%, while meeting production cost and latency constraints.

Edoardo D’Amico, Marco De Nadai, P. Chandar et al. · 1 citation

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