• DocumentCode
    2805663
  • Title

    Using Search Engine for Classification: Does It Still Work?

  • Author

    Govaerts, Sten ; Corthaut, Nik ; Duval, Erik

  • Author_Institution
    Dept. Comput. Sci., Katholieke Univ. Leuven, Leuven, Belgium
  • fYear
    2009
  • fDate
    14-16 Dec. 2009
  • Firstpage
    483
  • Lastpage
    488
  • Abstract
    Genre classification is a key aspect of music descriptions. In 2006, Schedl et al. presented a method for genre classification through web-based co-occurrence analysis. We evaluate whether this method is still valid, given the evolution of the web search technologies. We identify some issues with page count as the main parameter for the analysis in relation with the used genre taxonomies, choice of search engine, etc. We show that the results vary over time. Depending on the required response time, we suggest two different strategies for music genre classification using this method. Finally, we discuss future work.
  • Keywords
    Internet; classification; music; search engines; Web search technologies; Web-based cooccurrence analysis; music genre classification; search engine; Automation; Bars; Computer science; Databases; Delay; Layout; Performance analysis; Search engines; Taxonomy; Web search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, 2009. ISM '09. 11th IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-5231-6
  • Electronic_ISBN
    978-0-7695-3890-7
  • Type

    conf

  • DOI
    10.1109/ISM.2009.103
  • Filename
    5362702