Search (IR) & recommendation (RecSys) have long been developed in parallel, despite serving the same discovery goal over shared item universes. The rise of LLMs and agentic systems is collapsing this divide, with unified architectures and generative retrieval increasingly powering both query-driven and feed-driven expe...
Aleksandr V. Petrov, Sean MacAvaney, G. Penha et al.· Proceedings of the 20th ACM...· 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
It is found that introducing explicit descriptive reasoning traces reduces traditional offline recommendation effectiveness under standard SFT and RL training, even though natural language titles produce substantially more grounded and interpretable traces.
G. Penha, Juan Elenter, Claudia Hauff et al.· 0 citations
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