{"id":14,"date":"2017-07-17T18:54:16","date_gmt":"2017-07-17T18:54:16","guid":{"rendered":"http:\/\/dougturnbull.org\/?page_id=14"},"modified":"2025-09-22T09:57:41","modified_gmt":"2025-09-22T09:57:41","slug":"publications","status":"publish","type":"page","link":"https:\/\/dougturnbull.org\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n

Profile on Google Scholar<\/strong><\/a><\/p>\n\n\n\n

Major Grants<\/h2>\n\n\n\n

Designing AI Systems with Steerable Long-Term Dynamics<\/strong> <\/a>
Thorsten Joachims, Douglas Turnbull
NSF Information and Intelligent System Core Programs Grant
Fall 2023 – Summer 2027<\/p>\n\n\n\n

Counterfactual Learning and Evaluation for Interactive Information Systems<\/strong><\/a>
Thorsten Joachims, Douglas Turnbull
NSF Information and Intelligent System Core Programs Grant
Summer 2019 – Summer 2023<\/p>\n\n\n\n

Batch Learning from Logged Bandit Feedback<\/strong><\/a>
Thorsten Joachims, Douglas Turnbull
NSF Information and Intelligent System Core Programs Grant
Summer 2016 – Summer 2019<\/p>\n\n\n\n

Learning to Model Sequences: Playlist Prediction for Local Music Discovery<\/strong><\/a>
Douglas Turnbull, Thorsten Joachims
NSF Information and Intelligent System Core Programs Grant
Fall 2012 – Fall 2016<\/p>\n\n\n\n

Ph.D. Dissertation<\/h2>\n\n\n\n

Design and Development of a Semantic Music Discovery Engine<\/a><\/strong>
Douglas Turnbull
University of California, San Diego
May 2008
video<\/a> :: slides<\/a> :: bib<\/a><\/p>\n\n\n\n

Book Chapter<\/h2>\n\n\n\n

Indexing Music with Tags<\/a><\/strong>
Douglas Turnbull
Music Data Mining (published by CRC Press)
2012
bib<\/a><\/p>\n\n\n\n

Journal Papers (Peer-Reviewed)<\/h2>\n\n\n\n

Game-Powered Machine Learning<\/a><\/strong>
Luke Barrington, Douglas Turnbull, Gert Lanckriet
Proceedings of the National Academy of Science
April, 2012<\/p>\n\n\n\n

You Can Judge an Artist by an Album Cover: Using Images for Music Annotation<\/a><\/strong>
Janis Libeks, Douglas Turnbull
IEEE Mulitmedia
January, 2011
bib<\/a><\/p>\n\n\n\n

Semantic Annotation and Retrieval of Music and Sound Effects<\/a><\/strong>
Douglas Turnbull, Luke Barrington, David Torres, Gert Lanckriet
IEEE Transactions on Audio, Speech, and Language Processing
February 2008
bib<\/a><\/p>\n\n\n\n

Fast Recognition of Musical Genre using RBF Networks<\/a><\/strong>
Douglas Turnbull, Charles Elkan
IEEE Transactions on Knowledge and Data Engineering
April 2005
slides<\/a> :: bib<\/a><\/p>\n\n\n\n

Conference Papers (Peer-Reviewed)<\/h2>\n\n\n\n

Localify.org: Locally-focus Music Artist and Event Recommendation<\/a><\/strong>
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<\/a><\/p>\n\n\n\n

Towards Quantifying the Strength of Music Scenes using Live Event Data
<\/strong><\/a>Michael Zhou, Andrew McGraw, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’22)
<\/span>Bengaluru, India, December 2022
code & data<\/a><\/p>\n\n\n\n

Exploring Acoustic Similarity and Preference for Novel Music Recommendation<\/a>

<\/strong>Derek Cheng, Thorsten Joachims, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’20)
<\/span>Montreal, Canada, October 2020
poster<\/a> :: data (xls<\/a>, google sheet<\/a>)<\/p>\n\n\n\n

SLIONS: A Karaoke Application to Enhance Foreign Language Learning<\/strong><\/a>
Dania Murad, Riwu Wang, Douglas Turnbull, Ye Wang
ACM Multimedia (ACM MM ’18)
Seoul, Korea, October 2018<\/p>\n\n\n\n

Using Music Technology to Motivate Foreign Language Learning<\/strong><\/a>
\nDouglas Turnbull, Chitralekha Gupta, Dania Murad, Michael Barone, Ye Wang
\nIEEE International Conference on Orange Technologies (ICOT ’17)
\nSingapore, December 2017
\nslides<\/a><\/p>\n\n\n\n

Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography<\/a><\/strong>
\nJoshua Moore, Thorsten Joachims, Douglas Turnbull
\nInternational Symposium on Music Information Retrieval (ISMIR ’14)
\nTaiwan, October 2014
\nBest Student Paper Award!<\/i><\/p>\n\n\n\n

Using Personalized Radio to Enhance Local Music Discovery<\/a><\/strong>
\nDouglas Turnbull, Justin Zupnick, Kristofer Stensland, Andrew Horwitz, Alex Wolf, Alex Spirgel,
\nStephen Mayerhofer, Thosten Joachims
\nExtended Abstracts in Human Factors in Computing Systems (ACM CHI \u201914)
\nToronto, Canada, April 2014
\nsite<\/a> :: poster<\/a><\/p>\n\n\n\n

MeUse: Recommending Internet Radio Stations<\/a><\/strong>
\nMaurice Grant, Adeesha Ekanayake, Douglas Turnbull
\nInternational Symposium on Music Information Retrieval (ISMIR ’13)
\nCuritiba, Brazil, November 2013
\nsite<\/a> ::  poster<\/a><\/p>\n\n\n\n

Taste Over Time: The Temporal Dynamics of User Preferences<\/a><\/strong>
\nJoshua Moore, Shuo Chen,  Douglas Turnbull, Thorsten Joachims
\nInternational Symposium on Music Information Retrieval (ISMIR ’13)
\nCuritiba, Brazil, November 2013<\/p>\n\n\n\n

Learning to Embed Songs and Tags for Playlist Prediction<\/a><\/strong>
\nJoshua Moore, Shuo Chen, Thorsten Joachims, Douglas Turnbull
\nInternational Symposium on Music Information Retrieval (ISMIR ’12)
\nPorto, Portugal, October 2012<\/p>\n\n\n\n

Playlist Prediction via Metric Embedding<\/a><\/strong>
\nShuo Chen, Joshua Moore, Douglas Turnbull, Thorsten Joachims
\nACM Conference on Knowledge Discovery and Data Mining (KDD \u201912)
\nBeijing, China, August 2012
\ndemo<\/a><\/p>\n\n\n\n

Music Emotion Recognition: A State of the Art Review<\/a><\/strong>
\nYoungmoo Kim, Erik Schmidt, Ray Migneco, Brandon Morton, Patrick Richardson, Jeff Scott Jacquelin Speck, Douglas Turnbull
\nInternational Symposium on Music Information Retrieval (ISMIR ’10)
\nUtrecht, August 2010<\/p>\n\n\n\n

Exploring the “Image” of an Artist using Content-based Analysis of Promotional Photographs<\/a><\/strong>
\nJanis Libeks, Douglas Turnbull
\nInternational Computer Music Conference (ICMC \u201910)
\nNew York, June 2010
\nslides<\/a> :: bib<\/a><\/p>\n\n\n\n

BeatSyncMashCoder: A Web Application for Real-Time Creation of Beat-Synchronous Music Mashups<\/a><\/strong>
\nGarth Griffin, Youngmoo Kim, Douglas Turnbull
\nIEEE  International Conference on Acoustics, Speech and Signal Processing (ICASSP ’10)
\nDallas, March 2010
\nposter<\/a> :: bib<\/a><\/p>\n\n\n\n

Exploring Automatic Music Annotation with “Acoustically-Objective” Tags<\/a><\/strong>
\nDerek Tingle, Youngmoo Kim, Douglas Turnbull
\nACM International Conference on Multimedia Information Retrieval (MIR ’10)
\nPhiladelphia, March 2010
\nbib<\/a><\/p>\n\n\n\n

Using Regression to Combine Data Sources for Semantic Music Discovery<\/a><\/strong>
\nBrian Tomasik, Joon Hee Kim, Margaret Ladlow, Malcolm Augat, Derek Tingle, Rich Wicentowski, Douglas Turnbull
\nInternational Symposium on Music Information Retrieval (ISMIR ’09)
\nKobe, September 2009
\nposter<\/a> :: bib<\/a><\/p>\n\n\n\n

Using Artist Similarity to Propagate Semantic Information<\/a><\/strong>
\nJoon Hee Kim, Brian Tomasik, Douglas Turnbull
\nInternational Symposium on Music Information Retrieval (ISMIR ’09)
\nKobe, September 2009
\nslides<\/a> :: bib<\/a><\/p>\n\n\n\n

Combining Audio Content and Social Context for Semantic Music Discovery<\/a><\/strong>
\nDouglas Turnbull, Luke Barrington, Mehrdad Yazdani, Gert Lanckriet
\nACM Special Interest Group on Information Retrieval (SIGIR ’09)
\nBoston, July 2009
\nslides<\/a> :: bib<\/a><\/p>\n\n\n\n

Tagging Products using Image Classification<\/a><\/strong>
\nBrian Tomasik, Phyo Thiha, Douglas Turnbull
\nACM Special Interest Group on Information Retrieval (SIGIR ’09)
\nBoston, July 2009
\n8-page<\/a> :: poster<\/a> :: bib<\/a><\/p>\n\n\n\n

User-Centered Design of a Social Game to Tag Music<\/a><\/strong>
\nLuke Barrington, Douglas Turnbull,  Damien O\u2019Malley, Gert Lanckriet
\nACM KDD Workshop on Human Computation (HCOMP ’09)
\nParis, July 2009
\nbib<\/a><\/p>\n\n\n\n

Five Approaches to Collecting Tags for Music<\/a><\/strong>
\nDouglas Turnbull, Luke Barrington, Gert Lanckriet
\nInternational Symposium on Music Information Retrieval (ISMIR ’08)
\nPhiladelphia, September 2008
\nposter<\/a> :: bib<\/a><\/p>\n\n\n\n

Combining Feature Kernels for Semantic Music Retrieval <\/a><\/strong>
\nLuke Barrington, Mehrdad Yazdani, Douglas Turnbull, Gert Lanckriet
\nInternational Symposium on Music Information Retrieval (ISMIR ’08)
\nPhiladelphia, September 2008
\nposter<\/a> :: bib<\/a><\/p>\n\n\n\n

A Supervised Approach for Detecting Boundaries in Music using Difference Features and Boosting<\/a><\/strong>
\nDouglas Turnbull, Gert Lanckriet, Elias Pampalk, Masataka Goto
\nInternational Symposium on Music Information Retrieval (ISMIR ’07)
\nVienna, September 2007
\nslides<\/a> :: bib<\/a><\/p>\n\n\n\n

Identifying Words that are Musically Meaningful <\/a><\/strong>
\nDavid Torres, Douglas Turnbull, Luke Barrington,  Gert Lanckrie
\nInternational Symposium on Music Information Retrieval (ISMIR ’07),
\nVienna, September 2007
\nslides<\/a> :: bib<\/a><\/p>\n\n\n\n

A Game-Based Approach for Collecting Semantic Annotations of Music<\/a><\/strong>
\nDouglas Turnbull, Roy Liu, Luke Barrington, Gert Lanckriet
\nInternational Symposium on Music Information Retrieval (ISMIR ’07)
\nVienna, September 2007
\nslides<\/a> :: bib<\/a><\/p>\n\n\n\n

Towards Musical Query-by-Semantic Description using the CAL500 Data Set<\/a><\/strong>
\nDouglas Turnbull, Luke Barrington, David Torres, Gert Lanckriet
\nACM Special Interest Group on Information Retrieval (SIGIR ’07)
\nAmsterdam, July 2007
\nslides<\/a> :: bib<\/a><\/p>\n\n\n\n

Audio Information Retrieval Using Semantic Similarity<\/a><\/strong>
\nLuke Barrington, Antoni Chan, Douglas Turnbull, Gert Lanckriet
\nInternational Conference on Acoustic, Speech and Signal Processing (ICASSP ’07)
\nHawaii, April 2007
\nposter<\/a> :: bib<\/a><\/p>\n\n\n\n

Modeling Music and Words using a Multi-Class naive Bayes Approach<\/a><\/strong>
\nDouglas Turnbull, Luke Barrington, Gert Lanckriet
\nInternational Symposium on Music Information Retrieval (ISMIR ’06)
\nVictoria, October 2006
\nslides<\/a> :: bib<\/a><\/p>\n\n\n\n

Demo, Workshop & Other Papers<\/h2>\n\n\n\n

Using Language Models for Music Recommendations with Natural-Language Profiles<\/strong><\/a>
Paul Gagliano, Griffin Homan, Douglas Turnbull, Venkata S Govindarajan
Music Recommender System Workshop (MuRS)
ACM Conference on Recommender Systems
Prague, September 2025
slides<\/a><\/p>\n\n\n\n

Localify.org: Contextualizing Long-Tail Music for Local Artist Discovery<\/strong><\/a>
Paul Gagliano, Griffin Homan, Cassandra Raineault, Ruth Ayambem, Bridget Burns, Douglas Turnbull
International Symposium on Music Information Retrieval (ISMIR ’24)
Late Breaking Demo
San Francisco, November 2024
poster<\/a><\/p>\n\n\n\n

Popularity Degradation Bias in Local Music Recommendation<\/a><\/strong>
April Trainor, Douglas Turnbull
Music Recommender System Workshop (MuRS)
ACM Conference on Recommender Systems
Singapore, September 2023
slides<\/a><\/p>\n\n\n\n

Cross-Language Music Recommendation Exploration<\/strong><\/a>
Stefanos Stoikos, David Kauchak, Douglas Turnbull, Alexandra Papoutsaki
ACM International Conference on Multimedia Retrieval (ICMR ’23)
Thessaloniki, Greece, June 2023<\/p>\n\n\n\n

Exploring Popularity Bias in Music Steaming Services<\/a>
<\/strong> Vera Crabtree, Sean McQuillan, Douglas R. Turnbull
International Symposium on Music Information Retrieval (ISMIR ’22)
Late Breaking Demo
Bengaluru, India, December 2022
data<\/a> :: poster<\/a><\/p>\n\n\n\n

Exploring Popularity Bias in Music Recommendation Models and Commercial Steaming Services<\/a>
<\/strong>Douglas R. Turnbull, Sean McQuillan, Vera Crabtree, John Hunter, Sunny Zhang
Arxiv Manuscript<\/a>
August 2022
data<\/a> :: code<\/a><\/p>\n\n\n\n

Can We Determine Artist Origin from Past Live Events?<\/strong><\/a>
\nMichael Zhou, Thorsten Joachims, Douglas Turnbull
\nInternational Symposium on Music Information Retrieval (ISMIR ’20)
\nLate Breaking Demo
\nMontreal, Canada, October 2020
\nvideo<\/a> :: poster<\/p>\n\n\n\n

Changing How We Value Local Music Using Personalized Recommendation<\/a>
<\/strong> Vianca Hurtado, Thorsten Joachims, Doug Turnbull
ACM Richard Tapia Conference on Diversity in Computing
September 2020
Best Undergraduate Poster Award Nominee
<\/em>video<\/a> :: poster<\/a><\/p>\n\n\n\n

Content-based Music Similarity with Triplet Networks<\/a>
<\/strong>Joe Cleveland, Derek Cheng, Michael Zhou, Thorsten Joachims, Doug Turnbull
International Conference on Machine Learning (ICML)
Machine Learning for Music Discovery Workshop (ML4MD)<\/a>
July 2020<\/p>\n\n\n\n

Evaluating Recommender System Algorithms for Generating Local Music Playlists
<\/a><\/strong> Daniel Akimchuk, Timothy Clerico, Douglas Turnbull
Arxiv Manuscript<\/a>
April 2019<\/p>\n\n\n\n

Local Music Event Recommendation with Long Tail Artists<\/strong><\/a>
\nDouglas Turnbull, Luke Waldner
\nInternational Symposium on Music Information Retrieval (ISMIR ’18)
\nLate-Breaking Demo (2-page<\/a>) and Arxiv Manuscript (6-page<\/a>)
\nParis, France, September 2018<\/p>\n\n\n\n

Developing A Professional-Grade Personalized Radio App in an Academic Setting<\/strong><\/a>
\nDouglas Turnbull, Chris Perez, David Dorsey, Jon Burger, Joe Menduni, Daniel Akimchuk, Elena Piech, Alex Python, and Thorsten Joachims
\nInternational Symposium on Music Information Retrieval (ISMIR ’17)
\nLate-Breaking Demo
\nSuzhou, China, October 2017<\/p>\n\n\n\n

MegsRadio.fm: Locally-Focused Personalized Internet Radio<\/strong><\/a>
\nDouglas Turnbull, Shane Moore, Chris Perez, Luke Waldner, Mariah Flaim, David Dorsey, Dan Kustin, Thorsten Joachims
\nInternational Symposium on Music Information Retrieval (ISMIR ’16)
\nLate-Breaking Demo
\nNew York City, USA, August 2016<\/p>\n\n\n\n

Model AI Assignment: Music Genre Classification<\/a><\/strong>
\nDouglas Turnbull
\nEducational Advances in Artificial Intelligence (EAAI \u201912)
\nAssociation for the Advancement of Artificial Intelligence (AAAI \u201912)
\nToronto, Canada, July 2012<\/p>\n\n\n\n

Embedding Songs and Tags for Playlist Prediction<\/strong>
\nJoshua Moore, Shuo Chen, Thorsten Joachims, Douglas Turnbull
\nWorkshop on Machine Learning and Music
\nInternational Conference on Machine Learning (ICML \u201912)
\nEdinburgh, Scotland, June 2012<\/p>\n\n\n\n

Exploring Control and Feedback Mechanisms for Personalized Internet Radio<\/a><\/strong>
\nRichard Roberts, Kris Stensland, Douglas Turnbull
\nMusic: Cognition, Technology, Society
\nIthaca NY, May 2012
\nslides<\/a> :: video<\/a><\/p>\n\n\n\n

Meerkat: Exploring Semantic Music Discovery Using Personalized Radio<\/a><\/strong>
\nAshley Oudenne, Youngmoo Kim, Douglas Turnbull
\nDemo at ACM International Conference on Multimedia Information Retrieval (MIR \u201810)
\nPhiladelphia, March 2010
\nposter<\/a> :: bib<\/a><\/p>\n\n\n\n

Feature Selection for Content-Based, Time-Varying Musical Emotion Regression <\/a><\/strong>
\nErik Schmidt, Douglas Turnbull, Youngmoo Kim
\nACM International Conference on Multimedia Information Retrieval (MIR \u201810)
\nPhiladelphia, March 2010
\nbib<\/a><\/p>\n\n\n\n

Finding Musically Meaningful Words by Sparse CCA<\/a><\/strong>
\nDavid Torres, Douglas Turnbull, Luke Barrington, Barath K. Sriperumbudur, Gert Lanckriet
\nNIPS Workshop on Music, Brain & Cognition
\nVancouver, December 2007
\nbib<\/a><\/p>\n\n\n\n

Semantic Similarity for Music Retrieval<\/a><\/strong>
\nLuke Barrington, Douglas Turnbull, David Torres, GertLanckriet
\nMusic Information Retrieval Evaluation Exchange (MIREX \u201907)
\nAudio Music Similarity Task – 3rd Place (no statistically significance between top 4 teams)
\nVienna, September 2007
\nposter<\/a> :: results<\/a> :: bib<\/a><\/p>\n\n\n\n

Modeling the Semantics of Sound<\/a><\/strong>
\nDouglas Turnbull, Luke Barrington, David Torres, Gert Lanckriet
\nNIPS Workshop on Advances in Models for Acoustic Processing,
\nVancouver, December 2006
\nbib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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