Exploiting Recommended Usage Metadata: Exploratory Analyses

نویسندگان

  • Xiao Hu
  • J. Stephen Downie
  • Andreas F. Ehmann
چکیده

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).

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تاریخ انتشار 2006