• DocumentCode
    638975
  • Title

    Demo paper: The BBC Desktop Jukebox music recommendation system: A large scale trial with professional users

  • Author

    Fazekas, Gyorgy ; Barthet, Mathieu ; Sandler, Mark B.

  • Author_Institution
    Centre for Digital Music, Queen Mary Univ. of London, London, UK
  • fYear
    2013
  • fDate
    15-19 July 2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Recommending music for professional use presents challenges that are substantially different from those faced by systems targeting recreational listeners and other classes of end users. This paper describes a trial system and survey for assessing the utility of content and metadata-based recommendation technology targeting television and radio producers. First, we briefly assess the applicability of existing recommendation technologies. We then describe the trial system and the applied recommendation methodologies used in the context of a music database exceeding one million tracks. Finally we draw conclusions from a small user study conducted with professional programme producers.
  • Keywords
    audio databases; content management; meta data; music; professional aspects; recommender systems; television; BBC desktop jukebox music recommendation system; metadata-based recommendation technology; music database; professional programme producers; professional users; radio producers; recreational listeners; television producers; trial system; Computational modeling; Context; Databases; Mood; Music; Recommender systems; TV; Large-scale Content-based Retrieval; Music Recommendation; Radio and Television Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • DOI
    10.1109/ICMEW.2013.6618235
  • Filename
    6618235