Aug 7, 2026
Balancing Multiple Objectives in Generative Recommendations with Adaptive Decoding
TL;DR: We introduce Stochastic Primal-Dual Decoding (SPDD), a lightweight inference-time method that steers...
Aug 3, 2026
From Models to Products: LLMs for Recommendation at Spotify Scale
Recommender systems have become a regular part of our lives, from the home pages of our favorite apps and...
Mar 17, 2026
Cold-Starting Podcast Ads with Multi-Task Learning
Podcasts are one of Spotify’s fastest-growing content verticals, with over 750 million users discovering...
Nov 27, 2025
Transforming AI Research into Personalized Listening: Spotify at NeurIPS 2025
Spotify is proud to sponsor NeurIPS 2025...
Latest Publications
We publish research papers and present our work in a wide range of venues.
More publicationsFrom Habits to Discovery: Deploying LLMs for Personalized Generative Recommendations at Spotify
Edoardo D'Amico, Marco De Nadai, Praveen Chandar et al
A Unified Model for Personalization: Language-Steerable Generative Recommendation, Search, and User Understanding
Marco De Nadai, Edoardo D'Amico, Paul Bennett, Mounia Lalmas, Praveen Chandar et al
Stochastic 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
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.
Algorithmic Responsibility
Artificial Intelligence
Audio and Visual Intelligence
Causal Inference
Economics
Evaluation
Search & Recommendations
Speech and NLP
User Modeling
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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