Tonic: Combining Ranking and Clustering Dynamics for Music Discovery

Publication date

2015

Authors

Bountouridis, D.ISNI 0000000492529429
Van Balen, J.M.H.ISNI 0000000419527523
Rodríguez López, M.E.ISNI 0000000507301428
Aljanaki, AnnaISNI 0000000419508357
Wiering, FransORCID 0000-0002-2984-8932ISNI 0000000053360131
Veltkamp, R.C.ISNI 0000000109665680

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Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

taverne

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.

Keywords

Taverne

Citation

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