Associate Professor Doug Turnbull (Computer Science) and his students published two papers at the International Society for Music Information Retrieval conference in Bengaluru, India this week.
Doug Turnbull (CS) and students publish papers on "Music Desert Cities" and "Popularity Bias in Music Recommendation"
By Doug Turnbull, December 7, 2022
Doug Turnbull (CS) and students publish papers on "Music Desert Cities" and "Popularity Bias in Music Recommendation"
Towards Quantifying the Strength of Music Scenes using Live Event Data
Map of Live Events Per Capital for Northeastern United States
The first full paper focuses on how having an active local music scene, as measured by live music events per capita, is correlated with a number of positive social and economic indicators. You can read more about this work in the associated blog post.
Fun Fact: According to our study, Ithaca has the 7th most of most active music scene for small cities in the United States.
Towards Quantifying the Strength of Music Scenes using Live Event Data
Michael Zhou (Cornell '22), Andrew McGraw, Douglas Turnbull
with contributions from Tim Clerico '20, John Hunter '21, Emmett Barry '22, and April Trainor '24
International Symposium on Music Information Retrieval (ISMIR 22)
Bengaluru, India, December 2022
Exploring Popularity Bias in Music Steaming Services
The second workshop paper explores whether or not commercial streaming services (Spotify, YouTube, Amazon) tend to recommend artists that are more popular that the artists that the users typically listen to. You can find a summary of the results in this blog post.
Exploring Popularity Bias in Music Steaming Services
Vera Crabtree '22, Sean McQuillan '21, Doug Turnbull
International Symposium on Music Information Retrieval (ISMIR ’22)
Late Breaking Demo
Bengaluru, India, December 2022
This work is sponsored by both the National Science Foundation and the National Endowment for the Arts.