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
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.· Proceedings of the 32nd ACM...· 1 citation
NEO is introduced, a framework that adapts a pre-trained decoder-only LLM into a tool-free, catalog-grounded generator and treats SIDs as a distinct modality and study design choices for integrating discrete entity representations into LLMs via staged alignment and instruction tuning.
Marco De Nadai, Edoardo D'Amico, Maksym Lefarov et al.· Proceedings of the 32nd ACM...· 0 citations
Large language models (LLMs) are increasingly applied to recommendation, retrieval, and reasoning, yet deploying a single end-to-end model that can jointly support these behaviors over large, heterogeneous catalogs remains challenging. Such systems must generate unambiguous references to real items, handle multiple ent...
Marco De Nadai, Edoardo D'Amico, Maksym Lefarov et al.· Proceedings of the 32nd ACM...· 0 citations
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