Major Grants
Designing AI Systems with Steerable Long-Term Dynamics
Thorsten Joachims, Douglas Turnbull
NSF Information and Intelligent System Core Programs Grant
Fall 2023 – Summer 2027
Counterfactual Learning and Evaluation for Interactive Information Systems
Thorsten Joachims, Douglas Turnbull
NSF Information and Intelligent System Core Programs Grant
Summer 2019 – Summer 2023
Batch Learning from Logged Bandit Feedback
Thorsten Joachims, Douglas Turnbull
NSF Information and Intelligent System Core Programs Grant
Summer 2016 – Summer 2019
Learning to Model Sequences: Playlist Prediction for Local Music Discovery
Douglas Turnbull, Thorsten Joachims
NSF Information and Intelligent System Core Programs Grant
Fall 2012 – Fall 2016
Ph.D. Dissertation
Design and Development of a Semantic Music Discovery Engine
Douglas Turnbull
University of California, San Diego
May 2008
video :: slides :: bib
Book Chapter
Indexing Music with Tags
Douglas Turnbull
Music Data Mining (published by CRC Press)
2012
bib
Journal Papers (Peer-Reviewed)
Game-Powered Machine Learning
Luke Barrington, Douglas Turnbull, Gert Lanckriet
Proceedings of the National Academy of Science
April, 2012
You Can Judge an Artist by an Album Cover: Using Images for Music Annotation
Janis Libeks, Douglas Turnbull
IEEE Mulitmedia
January, 2011
bib
Semantic Annotation and Retrieval of Music and Sound Effects
Douglas Turnbull, Luke Barrington, David Torres, Gert Lanckriet
IEEE Transactions on Audio, Speech, and Language Processing
February 2008
bib
Fast Recognition of Musical Genre using RBF Networks
Douglas Turnbull, Charles Elkan
IEEE Transactions on Knowledge and Data Engineering
April 2005
slides :: bib
Conference Papers (Peer-Reviewed)
Localify.org: Locally-focus Music Artist and Event Recommendation
Douglas R. Turnbull, April Trainor, Griffin Homan, Elizabeth Richards, Kieran Bentley, Victoria Conrad, Paul Gagliano, Cassandra Raineault, Thorsten Joachims
ACM Conference on Recommender Systems (ACM RecSys ’23)
poster
Towards Quantifying the Strength of Music Scenes using Live Event Data
Michael Zhou, Andrew McGraw, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’22)
Bengaluru, India, December 2022
code & data
Exploring Acoustic Similarity and Preference for Novel Music Recommendation
Derek Cheng, Thorsten Joachims, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’20)
Montreal, Canada, October 2020
poster :: data (xls, google sheet)
SLIONS: A Karaoke Application to Enhance Foreign Language Learning
Dania Murad, Riwu Wang, Douglas Turnbull, Ye Wang
ACM Multimedia (ACM MM ’18)
Seoul, Korea, October 2018
Using Music Technology to Motivate Foreign Language Learning
Douglas Turnbull, Chitralekha Gupta, Dania Murad, Michael Barone, Ye Wang
IEEE International Conference on Orange Technologies (ICOT ’17)
Singapore, December 2017
slides
Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography
Joshua Moore, Thorsten Joachims, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’14)
Taiwan, October 2014
Best Student Paper Award!
Using Personalized Radio to Enhance Local Music Discovery
Douglas Turnbull, Justin Zupnick, Kristofer Stensland, Andrew Horwitz, Alex Wolf, Alex Spirgel,
Stephen Mayerhofer, Thosten Joachims
Extended Abstracts in Human Factors in Computing Systems (ACM CHI ’14)
Toronto, Canada, April 2014
site :: poster
MeUse: Recommending Internet Radio Stations
Maurice Grant, Adeesha Ekanayake, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’13)
Curitiba, Brazil, November 2013
site :: poster
Taste Over Time: The Temporal Dynamics of User Preferences
Joshua Moore, Shuo Chen, Douglas Turnbull, Thorsten Joachims
International Symposium on Music Information Retrieval (ISMIR ’13)
Curitiba, Brazil, November 2013
Learning to Embed Songs and Tags for Playlist Prediction
Joshua Moore, Shuo Chen, Thorsten Joachims, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’12)
Porto, Portugal, October 2012
Playlist Prediction via Metric Embedding
Shuo Chen, Joshua Moore, Douglas Turnbull, Thorsten Joachims
ACM Conference on Knowledge Discovery and Data Mining (KDD ’12)
Beijing, China, August 2012
demo
Music Emotion Recognition: A State of the Art Review
Youngmoo Kim, Erik Schmidt, Ray Migneco, Brandon Morton, Patrick Richardson, Jeff Scott Jacquelin Speck, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’10)
Utrecht, August 2010
Exploring the “Image” of an Artist using Content-based Analysis of Promotional Photographs
Janis Libeks, Douglas Turnbull
International Computer Music Conference (ICMC ’10)
New York, June 2010
slides :: bib
BeatSyncMashCoder: A Web Application for Real-Time Creation of Beat-Synchronous Music Mashups
Garth Griffin, Youngmoo Kim, Douglas Turnbull
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP ’10)
Dallas, March 2010
poster :: bib
Exploring Automatic Music Annotation with “Acoustically-Objective” Tags
Derek Tingle, Youngmoo Kim, Douglas Turnbull
ACM International Conference on Multimedia Information Retrieval (MIR ’10)
Philadelphia, March 2010
bib
Using Regression to Combine Data Sources for Semantic Music Discovery
Brian Tomasik, Joon Hee Kim, Margaret Ladlow, Malcolm Augat, Derek Tingle, Rich Wicentowski, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’09)
Kobe, September 2009
poster :: bib
Using Artist Similarity to Propagate Semantic Information
Joon Hee Kim, Brian Tomasik, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’09)
Kobe, September 2009
slides :: bib
Combining Audio Content and Social Context for Semantic Music Discovery
Douglas Turnbull, Luke Barrington, Mehrdad Yazdani, Gert Lanckriet
ACM Special Interest Group on Information Retrieval (SIGIR ’09)
Boston, July 2009
slides :: bib
Tagging Products using Image Classification
Brian Tomasik, Phyo Thiha, Douglas Turnbull
ACM Special Interest Group on Information Retrieval (SIGIR ’09)
Boston, July 2009
8-page :: poster :: bib
User-Centered Design of a Social Game to Tag Music
Luke Barrington, Douglas Turnbull, Damien O’Malley, Gert Lanckriet
ACM KDD Workshop on Human Computation (HCOMP ’09)
Paris, July 2009
bib
Five Approaches to Collecting Tags for Music
Douglas Turnbull, Luke Barrington, Gert Lanckriet
International Symposium on Music Information Retrieval (ISMIR ’08)
Philadelphia, September 2008
poster :: bib
Combining Feature Kernels for Semantic Music Retrieval
Luke Barrington, Mehrdad Yazdani, Douglas Turnbull, Gert Lanckriet
International Symposium on Music Information Retrieval (ISMIR ’08)
Philadelphia, September 2008
poster :: bib
A Supervised Approach for Detecting Boundaries in Music using Difference Features and Boosting
Douglas Turnbull, Gert Lanckriet, Elias Pampalk, Masataka Goto
International Symposium on Music Information Retrieval (ISMIR ’07)
Vienna, September 2007
slides :: bib
Identifying Words that are Musically Meaningful
David Torres, Douglas Turnbull, Luke Barrington, Gert Lanckrie
International Symposium on Music Information Retrieval (ISMIR ’07),
Vienna, September 2007
slides :: bib
A Game-Based Approach for Collecting Semantic Annotations of Music
Douglas Turnbull, Roy Liu, Luke Barrington, Gert Lanckriet
International Symposium on Music Information Retrieval (ISMIR ’07)
Vienna, September 2007
slides :: bib
Towards Musical Query-by-Semantic Description using the CAL500 Data Set
Douglas Turnbull, Luke Barrington, David Torres, Gert Lanckriet
ACM Special Interest Group on Information Retrieval (SIGIR ’07)
Amsterdam, July 2007
slides :: bib
Audio Information Retrieval Using Semantic Similarity
Luke Barrington, Antoni Chan, Douglas Turnbull, Gert Lanckriet
International Conference on Acoustic, Speech and Signal Processing (ICASSP ’07)
Hawaii, April 2007
poster :: bib
Modeling Music and Words using a Multi-Class naive Bayes Approach
Douglas Turnbull, Luke Barrington, Gert Lanckriet
International Symposium on Music Information Retrieval (ISMIR ’06)
Victoria, October 2006
slides :: bib
Demo, Workshop & Other Papers
Popularity Degradation Bias in Local Music Recommendation
April Trainor, Douglas Turnbull
Music Recommender System Workshop (MuRS)
ACM Conference on Recommender Systems
Singapore, September 2023
slides
Cross-Language Music Recommendation Exploration
Stefanos Stoikos, David Kauchak, Douglas Turnbull, Alexandra Papoutsaki
ACM International Conference on Multimedia Retrieval (ICMR ’23)
Thessaloniki, Greece, June 2023
Exploring Popularity Bias in Music Steaming Services
Vera Crabtree, Sean McQuillan, Douglas R. Turnbull
International Symposium on Music Information Retrieval (ISMIR ’22)
Late Breaking Demo
Bengaluru, India, December 2022
data :: poster
Exploring Popularity Bias in Music Recommendation Models and Commercial Steaming Services
Douglas R. Turnbull, Sean McQuillan, Vera Crabtree, John Hunter, Sunny Zhang
Arxiv Manuscript
August 2022
data :: code
Can We Determine Artist Origin from Past Live Events?
Michael Zhou, Thorsten Joachims, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’20)
Late Breaking Demo
Montreal, Canada, October 2020
video :: poster
Changing How We Value Local Music Using Personalized Recommendation
Vianca Hurtado, Thorsten Joachims, Doug Turnbull
ACM Richard Tapia Conference on Diversity in Computing
September 2020
Best Undergraduate Poster Award Nominee
video :: poster
Content-based Music Similarity with Triplet Networks
Joe Cleveland, Derek Cheng, Michael Zhou, Thorsten Joachims, Doug Turnbull
International Conference on Machine Learning (ICML)
Machine Learning for Music Discovery Workshop (ML4MD)
July 2020
Evaluating Recommender System Algorithms for Generating Local Music Playlists
Daniel Akimchuk, Timothy Clerico, Douglas Turnbull
Arxiv Manuscript
April 2019
Local Music Event Recommendation with Long Tail Artists
Douglas Turnbull, Luke Waldner
International Symposium on Music Information Retrieval (ISMIR ’18)
Late-Breaking Demo (2-page) and Arxiv Manuscript (6-page)
Paris, France, September 2018
Developing A Professional-Grade Personalized Radio App in an Academic Setting
Douglas Turnbull, Chris Perez, David Dorsey, Jon Burger, Joe Menduni, Daniel Akimchuk, Elena Piech, Alex Python, and Thorsten Joachims
International Symposium on Music Information Retrieval (ISMIR ’17)
Late-Breaking Demo
Suzhou, China, October 2017
MegsRadio.fm: Locally-Focused Personalized Internet Radio
Douglas Turnbull, Shane Moore, Chris Perez, Luke Waldner, Mariah Flaim, David Dorsey, Dan Kustin, Thorsten Joachims
International Symposium on Music Information Retrieval (ISMIR ’16)
Late-Breaking Demo
New York City, USA, August 2016
Model AI Assignment: Music Genre Classification
Douglas Turnbull
Educational Advances in Artificial Intelligence (EAAI ’12)
Association for the Advancement of Artificial Intelligence (AAAI ’12)
Toronto, Canada, July 2012
Embedding Songs and Tags for Playlist Prediction
Joshua Moore, Shuo Chen, Thorsten Joachims, Douglas Turnbull
Workshop on Machine Learning and Music
International Conference on Machine Learning (ICML ’12)
Edinburgh, Scotland, June 2012
Exploring Control and Feedback Mechanisms for Personalized Internet Radio
Richard Roberts, Kris Stensland, Douglas Turnbull
Music: Cognition, Technology, Society
Ithaca NY, May 2012
slides :: video
Meerkat: Exploring Semantic Music Discovery Using Personalized Radio
Ashley Oudenne, Youngmoo Kim, Douglas Turnbull
Demo at ACM International Conference on Multimedia Information Retrieval (MIR ‘10)
Philadelphia, March 2010
poster :: bib
Feature Selection for Content-Based, Time-Varying Musical Emotion Regression
Erik Schmidt, Douglas Turnbull, Youngmoo Kim
ACM International Conference on Multimedia Information Retrieval (MIR ‘10)
Philadelphia, March 2010
bib
Finding Musically Meaningful Words by Sparse CCA
David Torres, Douglas Turnbull, Luke Barrington, Barath K. Sriperumbudur, Gert Lanckriet
NIPS Workshop on Music, Brain & Cognition
Vancouver, December 2007
bib
Semantic Similarity for Music Retrieval
Luke Barrington, Douglas Turnbull, David Torres, GertLanckriet
Music Information Retrieval Evaluation Exchange (MIREX ’07)
Audio Music Similarity Task – 3rd Place (no statistically significance between top 4 teams)
Vienna, September 2007
poster :: results :: bib
Modeling the Semantics of Sound
Douglas Turnbull, Luke Barrington, David Torres, Gert Lanckriet
NIPS Workshop on Advances in Models for Acoustic Processing,
Vancouver, December 2006
bib