Tonic: Combining Ranking and Clustering Dynamics for Music Discovery
Publication date
2015
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Abstract
This paper describes the design of Tonic, a novel web interface for music discovery and playlist creation. Tonic maps songs into a two dimensional space using a combination of free tags, metadata, and audio-derived features. Search results are presented in this two dimensional space using a combination of clustering and ranking visualization strategies. Tonic was ranked first in the 2014 MIREX User Experience Grand Challenge, where it was evaluated in terms of learnability, robustness and overall user satisfaction, amongst others.
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Bountouridis, D, Van Balen, J M H, Rodríguez López, M E, Aljanaki, A, Wiering, F & Veltkamp, R C 2015, Tonic: Combining Ranking and Clustering Dynamics for Music Discovery. in Proceedings of the Audio Mostly 2015 on Interaction With Sound. vol. 6, Association for Computing Machinery. https://doi.org/10.1145/2814895.2814930