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
Knowledge-Geometry Decoupling (KGD) is proposed and Behavioral Multi-Token Prediction (BMTP) is introduced to retain only collaboratively or semantically related future items as supervision, yielding cleaner and more transferable behavioral knowledge.
Zixuan Wang, Yuhong Chen, Yuxuan Zhu et al.· 0 citations
Industrial generative recommendation systems operating over discrete Semantic IDs (SIDs) are largely behavior-driven, and thus struggle to proactively activate latent demand before explicit user signals emerge, leading to intent cold-start. To address this, we propose RIGER (Reasoning-grounded Intent injection for GE n...
Xusong Chen, Peini Guo, Fang Liu et al.· Annual International ACM SIG...· 0 citations
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