Exploiting recommended usage metadata: Exploratory analyses

Xiao Hu, J. Stephen Downie, Andreas F. Ehmann

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

Abstract

In this paper, we conduct a series of exploratory analyses on the user-recommended usages of music as generated by 1,042 reviewers who have posted to www.epinions.com. Using hierarchical clustering methods on data derived from the co-occurrence analyses of usage and genre, usage and artist, and usage and album, we are able to conclude that further investigation of user-recommended usage metadata is warranted, especially with regard to its implications for future iterations of the Music Information Retrieval Evaluation eXchange (MIREX).

Original languageEnglish (US)
Title of host publicationISMIR 2006 - 7th International Conference on Music Information Retrieval
Pages19-22
Number of pages4
StatePublished - 2006
Event7th International Conference on Music Information Retrieval, ISMIR 2006 - Victoria, BC, Canada
Duration: Oct 8 2006Oct 12 2006

Publication series

NameISMIR 2006 - 7th International Conference on Music Information Retrieval

Other

Other7th International Conference on Music Information Retrieval, ISMIR 2006
CountryCanada
CityVictoria, BC
Period10/8/0610/12/06

Keywords

  • HUMIRS
  • Hierarchical clustering
  • MIREX
  • Music reviews
  • User study
  • User-recommended usage

ASJC Scopus subject areas

  • Music
  • Information Systems

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