Publications

Profile on Google Scholar

Major Grants

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)

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

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

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