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
Link To Document