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ORCIDDouglas R. Turnbull
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- affiliation: Ithaca College, NY, USA
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Conference and Workshop Papers
- 2023
[c8]Douglas Turnbull, April Trainor, Douglas R. Turnbull, Elizabeth Richards, Kieran Bentley, Victoria Conrad, Paul Gagliano, Cassandra Raineault, Thorsten Joachims:
Localify.org: Locally-focus Music Artist and Event Recommendation. RecSys 2023: 1200-1203- 2022
- [c7]Michael Zhou, Andrew Mcgraw, Douglas R. Turnbull:
Towards Quantifying the Strength of Music Scenes Using Live Event Data. ISMIR 2022: 583-590 - 2020
- [c6]Derek Cheng, Thorsten Joachims, Douglas R. Turnbull:
Exploring Acoustic Similarity for Novel Music Recommendation. ISMIR 2020: 583-589 - 2014
- [c5]Douglas R. Turnbull, Justin A. Zupnick, Kristofer B. Stensland, Andrew R. Horwitz, Alexander J. Wolf, Alexander E. Spirgel, Stephen P. Meyerhofer, Thorsten Joachims:
Using personalized radio to enhance local music discovery. CHI Extended Abstracts 2014: 2023-2028 - [c4]Joshua L. Moore, Thorsten Joachims, Douglas R. Turnbull:
Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography. ISMIR 2014: 439-444 - 2013
- [c3]Joshua L. Moore, Shuo Chen, Douglas R. Turnbull, Thorsten Joachims:
Taste Over Time: The Temporal Dynamics of User Preferences. ISMIR 2013: 401-406 - 2012
- [c2]Joshua L. Moore, Shuo Chen, Thorsten Joachims, Douglas R. Turnbull:
Learning to Embed Songs and Tags for Playlist Prediction. ISMIR 2012: 349-354 - [c1]Shuo Chen, Joshua L. Moore, Douglas R. Turnbull, Thorsten Joachims:
Playlist prediction via metric embedding. KDD 2012: 714-722
Informal and Other Publications
- 2022
- [i2]Douglas R. Turnbull, Sean McQuillan, Vera Crabtree, John Hunter, Sunny Zhang:
Exploring Popularity Bias in Music Recommendation Models and Commercial Steaming Services. CoRR abs/2208.09517 (2022) - 2020
- [i1]Joseph Cleveland, Derek Cheng, Michael Zhou, Thorsten Joachims, Douglas R. Turnbull:
Content-based Music Similarity with Triplet Networks. CoRR abs/2008.04938 (2020)
Coauthor Index
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