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
Teaching Large Language Models to Speak Spotify: How Semantic IDs Enable Personalization
Latest Publications
We publish research papers and present our work in a wide range of venues.
More publicationsAs 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
A Bayesian Information Theoretic Approach to Data Attribution
Dharmesh Tailor, Kamil Ciosek, Nicolò Felicioni
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.
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