@inproceedings{8c7444b9215d4e6886b43a31b6d8f8c2,
title = "Exploiting recommended usage metadata: Exploratory analyses",
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).",
keywords = "HUMIRS, Hierarchical clustering, MIREX, Music reviews, User study, User-recommended usage",
author = "Xiao Hu and Downie, {J. Stephen} and Ehmann, {Andreas F.}",
year = "2006",
language = "English (US)",
isbn = "9781550583496",
series = "ISMIR 2006 - 7th International Conference on Music Information Retrieval",
pages = "19--22",
booktitle = "ISMIR 2006 - 7th International Conference on Music Information Retrieval",
note = "7th International Conference on Music Information Retrieval, ISMIR 2006 ; Conference date: 08-10-2006 Through 12-10-2006",
}