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Text Content

 * Blog
 * Publications
 * Datasets
 * Research Areas
   * 
     Algorithmic Responsibility
   * 
     Audio Intelligence
   * 
     Evaluation
   * 
     Human-Computer Interaction
   * 
     Language Technologies
   * 
     Machine Learning
     
   * 
     Search & Recommendations
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     User Modeling
 * Podcasts
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SPOTIFY RESEARCH IS DEDICATED TO EXTENDING THE STATE OF THE ART IN AUDIO

June 6, 2024


SOCIALLY-MOTIVATED MUSIC RECOMMENDATION

tldr – The wide variety of reasons people listen to music include both
individual motivations, like self-awareness and mood regulation, as well as
social motivations, such as demonstrating belonging to a group or feeling
connected to friends.

 * Human-Computer Interaction
 * Search & Recommendations

May 21, 2024


EXPLORING LOCAL MUSIC’S PLACE IN GLOBAL STREAMING

 * Human-Computer Interaction
 * Search & Recommendations

May 10, 2024


PERSONALIZING AUDIOBOOKS AND PODCASTS WITH GRAPH-BASED MODELS

 * Machine Learning
 * Search & Recommendations

May 9, 2024


ESTIMATING LONG-TERM OUTCOME OF ALGORITHMS

 * Evaluation
 * Search & Recommendations

More posts



LATEST PUBLICATIONS

We publish research papers and present our work in a wide range of venues.

SOCIALLY-MOTIVATED MUSIC RECOMMENDATION

Ben Lacker, Samuel Way

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

More Publications


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.


Algorithmic Responsibility

Audio Intelligence

Evaluation

Human-Computer Interaction

Machine Learning

Language Technologies

Search & Recommendations

User Modeling



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.

Join us



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