A tool to support finding favorite music by visualizing listeners' preferences

Satoko Shiroi*, Kazuo Misue, Jiro Tanaka

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In recent years, music-finding services have been increasing. If we have explicit information specifying pieces of music, we can find music to our taste using such services. This paper describes a tool to support music discovery. The tool visualizes a relational structure among music genres and the music-preference data of many listeners to make the users aware of their favorite music without explicit information. A case study is described to illustrate the usefulness of the tool.

Original languageEnglish
Title of host publicationProceedings - 15th International Conference on Information Visualisation, IV 2011
Number of pages6
Publication statusPublished - 2011 Sept 26
Externally publishedYes
Event15th International Conference on Information Visualisation, IV 2011 - London, United Kingdom
Duration: 2011 Jul 132011 Jul 15

Publication series

NameProceedings of the International Conference on Information Visualisation
ISSN (Print)1093-9547


Other15th International Conference on Information Visualisation, IV 2011
Country/TerritoryUnited Kingdom


  • music genre
  • preference
  • relational structure
  • sub-genre

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

Cite this