Douglas R. Turnbull

According to our database, Douglas R. Turnbull authored at least 10 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Localify.org: Locally-focus Music Artist and Event Recommendation.

Douglas Turnbull, April Trainor, Douglas R. Turnbull, Elizabeth Richards, Kieran Bentley, Victoria Conrad, Paul Gagliano, Cassandra Raineault, Thorsten Joachims

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Exploring Popularity Bias in Music Recommendation Models and Commercial Steaming Services.

Douglas R. Turnbull, Sean McQuillan, Vera Crabtree, John Hunter, Sunny Zhang

CoRR, 2022

Towards Quantifying the Strength of Music Scenes Using Live Event Data.

Michael Zhou, Andrew Mcgraw, Douglas R. Turnbull

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2020

Content-based Music Similarity with Triplet Networks.

Joseph Cleveland, Derek Cheng, Michael Zhou, Thorsten Joachims, Douglas R. Turnbull

CoRR, 2020

Exploring Acoustic Similarity for Novel Music Recommendation.

Derek Cheng, Thorsten Joachims, Douglas R. Turnbull

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2014

Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography.

Joshua L. Moore, Thorsten Joachims, Douglas R. Turnbull

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Using personalized radio to enhance local music discovery.

Douglas R. Turnbull, Justin A. Zupnick, Kristofer B. Stensland, Andrew R. Horwitz, Alexander J. Wolf, Alexander E. Spirgel, Stephen P. Meyerhofer, Thorsten Joachims

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013

Taste Over Time: The Temporal Dynamics of User Preferences.

Joshua L. Moore, Shuo Chen, Douglas R. Turnbull, Thorsten Joachims

Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

2012

Playlist prediction via metric embedding.

Shuo Chen, Joshua L. Moore, Douglas R. Turnbull, Thorsten Joachims

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Learning to Embed Songs and Tags for Playlist Prediction.

Joshua L. Moore, Shuo Chen, Thorsten Joachims, Douglas R. Turnbull

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012