Tonic: Combining Ranking and Clustering Dynamics for Music Discovery

D. Bountouridis; J.M.H. Van Balen; M.E. Rodríguez López; A. Aljanaki; F. Wiering; R.C. Veltkamp

doi:10.1145/2814895.2814930

Tonic: Combining Ranking and Clustering Dynamics for Music Discovery

D. Bountouridis, J.M.H. Van Balen, M.E. Rodríguez López, A. Aljanaki, F. Wiering, R.C. Veltkamp

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	Proceedings of the Audio Mostly 2015 on Interaction With Sound
Publisher	Association for Computing Machinery
Number of pages	6
Volume	6
ISBN (Electronic)	978-1-4503-3896-7
DOIs	https://doi.org/10.1145/2814895.2814930
Publication status	Published - 2015

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10.1145/2814895.2814930

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title = "Tonic: Combining Ranking and Clustering Dynamics for Music Discovery",

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.",

author = "D. Bountouridis and {Van Balen}, J.M.H. and {Rodr{\'i}guez L{\'o}pez}, M.E. and A. Aljanaki and F. Wiering and R.C. Veltkamp",

year = "2015",

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language = "English",

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Tonic: Combining Ranking and Clustering Dynamics for Music Discovery. / Bountouridis, D.; Van Balen, J.M.H.; Rodríguez López, M.E. et al.
Proceedings of the Audio Mostly 2015 on Interaction With Sound. Vol. 6 Association for Computing Machinery, 2015.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Van Balen, J.M.H.

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AU - Wiering, F.

AU - Veltkamp, R.C.

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AB - 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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M3 - Conference contribution

VL - 6

BT - Proceedings of the Audio Mostly 2015 on Interaction With Sound

PB - Association for Computing Machinery

ER -

Tonic: Combining Ranking and Clustering Dynamics for Music Discovery

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