Balancing Multiple Objectives in Generative Recommendations with Adaptive Decoding
From Models to Products: LLMs for Recommendation at Spotify Scale
Cold-Starting Podcast Ads with Multi-Task Learning
Transforming AI Research into Personalized Listening: Spotify at NeurIPS 2025
Latest Publications
We publish research papers and present our work in a wide range of venues.
More publicationsStochastic Primal-Dual Decoding for Multiobjective Generative Recommender Systems
Dmitrii Moor, Ben Carterette, Senthilkumar Krishnamoorthy, Kyle Kretschman, Denis Beslic, Melissa Yalla, Alice Y Wang, Mounia Lalmas
As It Was: Aligning LLM Search Evaluation with Historical User Preferences
Ali Vardasbi, Gustavo Penha, Enrico Palumbo, Claudia Hauff, Hugues Bouchard, Mounia Lalmas
Measuring Uncertainty Calibration
Kamil Ciosek, Nicolò Felicioni,Sina Ghiassian, Juan Elenter, Francesco Tonolini, David Gustafsson, Eva Garcia-Martin, Carmen Gonzalez, Raphaëlle Bertrand-Lalo
Research Areas
How do we create more personalized experiences? What can we learn about listeners on how they use written language? How do we optimize testing methodologies? Explore all our research areas below.
We are looking for pioneers to join us in all research areas
We're expanding knowledge of audio and video technology every day, sharing open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.
Join Us
