February 22, 2023
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
March 23, 2023
Exploring Goal-oriented Podcast Recommendations
Recommender systems typically look to users’ past consumption to predict what they may want next. In practice, this approach tends to work best when what the user wants is similar to what they have consumed recently, and when it is relatively easy for that person to evaluate new items.
November 25, 2022
Survival Analysis Meets Reinforcement Learning
November 24, 2022
Spotify’s Contributions to NeurIPS 2022
A Survey on Multi-objective Recommender Systems
Dietmar Jannach and Himan Abdollahpouri
Estimating categorical counterfactuals via deep twin networks
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
Enabling Goal-Focused Exploration of Podcasts in Interactive Recommender Systems
Yu Liang, Aditya Ponnada, Paul Lamere, Nediyana Daskalova
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.