Jul 25, 2025
Optimizing Query Expansions via LLM Preference Alignment
One of the longstanding challenges in information retrieval is the vocabulary mismatch problem...
Jul 22, 2025
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
Causal inference helps us answer “what-if” questions—what would happen if we recommended a podcast instead..
Jul 22, 2025
The Hardness of Validating Observational Studies with Experimental Data
Many models at Spotify are trained using randomized data to prevent bias...
Apr 8, 2025
Text2Tracks: Improving Prompt-based Music Recommendations with Generative Retrieval
Imagine asking your music app to “play some old-school rock ballads to relax” and instantly receiving the...
Latest Publications
We publish research papers and present our work in a wide range of venues.
More publicationsZero-Shot Reranking with Large Language Models and Precomputed Ranking Features: Opportunities and Limitations
Maria Movin, Claudia Hauff
The hardness of validating observational studies with experimental data
Jake Fawkes, Michael O’Riordan, Athanasios Vlontzos, Oriol Corcoll, Ciarán Gilligan-Lee
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
Michael O'Riordan, Ciarán Gilligan-Lee
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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