Department of Computer Science
350 Gates Hall
Ithaca, NY 14853
Email: jlmo at cs dot cornell dot edu
Taste Over Time: the Temporal Dynamics of User Preferences (ISMIR 2013)
I am a fifth-year PhD student in Computer Science at Cornell University. I work on problems in machine learning and information retrieval, including music information retrieval and recommendation systems. In particular, my research explores the use of embedding methods for sequence modeling and data analysis in domains such as music and language. These methods can handle objects which have only contextual features, like co-occurrence statistics, that describe how they behave in sequences, even when the objects don't necessarily have easy explicit feature descriptions. As a result, we can easily form generative models of sequences of the objects, and we gain an explicit representation for the objects themselves which can then be used for data visualization and exploratory data analysis.
Taste Space Versus the World: an Embedding Analysis of Listening Habits and Geography
J. L. Moore, T. Joachims, D. Turnbull International Society for Music Information Retrieval (ISMIR) Conference, October 2014.
Taste Over Time: the Temporal Dynamics of User Preferences
J. L. Moore, S. Chen, T. Joachims, D. Turnbull International Society for Music Information Retrieval (ISMIR) Conference, November 2013. pdf
Animacy Detection with Voting Models
J. L. Moore, C. J. C. Burges, E. Renshaw, W. T. Yih Conference on Empirical Methods in Natural Language Processing (short paper), October 2013. pdf
Learning to Embed Songs and Tags for Playlist Prediction
J. L. Moore, S. Chen, T. Joachims, D. Turnbull International Society for Music Information Retrieval (ISMIR) Conference, October 2012. pdf
Playlist Prediction Via Metric Embedding
S. Chen, J. L. Moore, D. Turnbull, T. Joachims ACM Conference on Knowledge Discovery and Data Mining (KDD), August 2012. pdf
Embedding Songs and Tags for Playlist Prediction (extended abstract)
J. L. Moore, S. Chen, T. Joachims, D. Turnbull Workshop on Music and Machine Learning (MML) at ICML, June 2012.
Hashing Algorithms for Large-Scale Learning
P. Li, A. Shrivastava, J. L. Moore, A. C. König Proceedings of the 25th Conference on Neural Information Processing Systems (NIPS), December 2011. pdf
A Novel Metric for Information Retrieval in Semantic Networks
J. L. Moore, F. Steinke, V. Tresp Third International Workshop on Inductive Reasoning and Machine Learning for the Semantic Web (IRMLeS), May 2011.
Learning Visual Categories for Robot Affordance Prediction
J. Sun, J. L. Moore, A. Bobick, J. M. Rehg International Journal of Robotics Research, February 2010.
Aside from the healthy interest in math and computer science in general that one would expect from a CS grad student, I am also passionate about foreign languages and music. I've spent a total of about 14 months living in Germany and know the language quite well. I've also spent some time studying (independently or otherwise and in decreasing order of competence) Spanish, French, Dutch, and Russian.
In my undergrad years, I was a volunteer DJ at WREK Atlanta, 91.1 FM, Georgia Tech's student run radio station. In March 2007 (during my freshman year), I created a radio show called Coffee and Sushi featuring a wide range of chill music (chillout/lounge/downtempo, deep house, bossa nova, and trip-hop) which is still running today.
Unfortunately, upon graduating from Georgia Tech I had to leave my show in the care of another DJ. I've since filled the resulting creative void by honing my skills as a house DJ (check here for newer mixes and here for some older ones).
I love to travel, and I also enjoy photography as a hobby. Check out my Picasa Gallery to see some of my photos.