
Latest Publications
We publish research papers and present our work in a wide range of venues.
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.
We publish research papers and present our work in a wide range of venues.
Dietmar Jannach and Himan Abdollahpouri
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
Yu Liang, Aditya Ponnada, Paul Lamere, Nediyana Daskalova
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’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.