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
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;
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
Conference_Location :
San Jose, CA
DOI :
10.1109/ICMEW.2013.6618235