Douglas Turnbull

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 8

Top Topics

Recommender Systems

Music Recommendation

Preference Model

Top Venues

Publications

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)
Stefanos Stoikos, David Kauchak, Douglas Turnbull, Alexandra Papoutsaki
Cross-Language Music Recommendation Exploration. ICMR (2023)
April Trainor, Douglas Turnbull
Popularity Degradation Bias in Local Music Recommendation. CoRR (2023)
Derek Cheng, Thorsten Joachims, Douglas Turnbull
Exploring Acoustic Similarity for Novel Music Recommendation. ISMIR (2020)
Joseph Cleveland, Derek Cheng, Michael Zhou, Thorsten Joachims, Douglas Turnbull
Content-based Music Similarity with Triplet Networks. CoRR (2020)
Daniel Akimchuk, Timothy Clerico, Douglas Turnbull
Evaluating Recommender System Algorithms for Generating Local Music Playlists. CoRR (2019)
Dania Murad, Riwu Wang, Douglas Turnbull, Ye Wang
SLIONS: A Karaoke Application to Enhance Foreign Language Learning. ACM Multimedia (2018)
Douglas Turnbull, Luke Waldner
Local Music Event Recommendation with Long Tail Artists. CoRR (2018)
Joshua L. Moore, Thorsten Joachims, Douglas Turnbull
Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography. ISMIR (2014)
Douglas 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)
Maurice Grant, Adeesha Ekanayake, Douglas Turnbull
MeUse: Recommending Internet Radio Stations. ISMIR (2013)
Joshua L. Moore, Shuo Chen, Douglas Turnbull, Thorsten Joachims
Taste Over Time: The Temporal Dynamics of User Preferences. ISMIR (2013)
Luke Barrington, Douglas Turnbull, Gert R. G. Lanckriet
Game-powered machine learning. Proc. Natl. Acad. Sci. USA 109 (17) (2012)
Todd W. Neller, Laura E. Brown, John Earnest, Jason Hiebel, Douglas Turnbull
Model AI Assignments 2012. EAAI (2012)
Joshua L. Moore, Shuo Chen, Thorsten Joachims, Douglas Turnbull
Learning to Embed Songs and Tags for Playlist Prediction. ISMIR (2012)
Shuo Chen, Joshua L. Moore, Douglas Turnbull, Thorsten Joachims
Playlist prediction via metric embedding. KDD (2012)
Janis Libeks, Douglas Turnbull
You Can Judge an Artist by an Album Cover: Using Images for Music Annotation. IEEE Multim. 18 (4) (2011)
Youngmoo E. Kim, Erik M. Schmidt, Raymond Migneco, Brandon G. Morton, Patrick Richardson, Jeffrey J. Scott, Jacquelin A. Speck, Douglas Turnbull
State of the Art Report: Music Emotion Recognition: A State of the Art Review. ISMIR (2010)
Ashley M. Oudenne, Youngmoo E. Kim, Douglas Turnbull
Meerkat: exploring semantic music discovery using personalized radio. Multimedia Information Retrieval (2010)
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
Feature selection for content-based, time-varying musical emotion regression. Multimedia Information Retrieval (2010)
Garth Griffin, Youngmoo E. Kim, Douglas Turnbull
Beat-Sync-Mash-Coder: A web application for real-time creation of beat-synchronous music mashups. ICASSP (2010)
Derek Tingle, Youngmoo E. Kim, Douglas Turnbull
Exploring automatic music annotation with "acoustically-objective" tags. Multimedia Information Retrieval (2010)
Janis Libeks, Douglas Turnbull
Exploring "Artist Image" Using Content-Based Analysis Of Promotional Photos. ICMC (2010)
Luke Barrington, Damien O'Malley, Douglas Turnbull, Gert R. G. Lanckriet
User-centered design of a social game to tag music. KDD Workshop on Human Computation (2009)
Brian Tomasik, Phyo Thiha, Douglas Turnbull
Tagging products using image classification. SIGIR (2009)
Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet, Mehrdad Yazdani
Combining audio content and social context for semantic music discovery. SIGIR (2009)
Joon Hee Kim, Brian Tomasik, Douglas Turnbull
Using Artist Similarity to Propagate Semantic Information. ISMIR (2009)
Brian Tomasik, Joon Hee Kim, Margaret Ladlow, Malcolm Augat, Derek Tingle, Rich Wicentowski, Douglas Turnbull
Using Regression to Combine Data Sources for Semantic Music Discovery. ISMIR (2009)
Douglas Turnbull, Luke Barrington, David A. Torres, Gert R. G. Lanckriet
Semantic Annotation and Retrieval of Music and Sound Effects. IEEE Trans. Speech Audio Process. 16 (2) (2008)
Luke Barrington, Mehrdad Yazdani, Douglas Turnbull, Gert R. G. Lanckriet
Combining Feature Kernels for Semantic Music Retrieval. ISMIR (2008)
Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet
Five Approaches to Collecting Tags for Music. ISMIR (2008)
Douglas Turnbull, Ruoran Liu, Luke Barrington, Gert R. G. Lanckriet
A Game-Based Approach for Collecting Semantic Annotations of Music. ISMIR (2007)
Douglas Turnbull, Gert R. G. Lanckriet, Elias Pampalk, Masataka Goto
A Supervised Approach for Detecting Boundaries in Music Using Difference Features and Boosting. ISMIR (2007)
Douglas Turnbull, Luke Barrington, David A. Torres, Gert R. G. Lanckriet
Towards musical query-by-semantic-description using the CAL500 data set. SIGIR (2007)
David A. Torres, Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet
Identifying Words that are Musically Meaningful. ISMIR (2007)
Luke Barrington, Antoni B. Chan, Douglas Turnbull, Gert R. G. Lanckriet
Audio Information Retrieval using Semantic Similarity. ICASSP (2) (2007)
Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet
Modeling music and words using a multi-class naïve Bayes approach. ISMIR (2006)
Douglas Turnbull, Charles Elkan
Fast Recognition of Musical Genres Using RBF Networks. IEEE Trans. Knowl. Data Eng. 17 (4) (2005)