May 9, 2024
Latest Publications
We publish research papers and present our work in a wide range of venues.
Spotify Research is dedicated to extending the state of the art in audio
May 10, 2024
Personalizing Audiobooks and Podcasts with graph-based models
Spotify’s catalog includes millions of music tracks and podcasts and has recently expanded to Audiobooks. Personalizing this content to users requires our algorithms to “understand” user preferences as well as content relationships across all content types…
Structural Podcast Content Modeling with Generalizability
Yijun Tian, Maryam Aziz, Alice Wang, Enrico Palumbo and Hugues Bouchard
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas-Roelleke, Andreas Damianou
Towards Graph Foundation Models for Personalization
Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas
Research Areas
How do we create more personalized experiences? What can we learn about listeners based 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 technology every day, sharing open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.