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A Content-based System for Music Recommendation and Visualization of User Preferences Working on Semantic Notions

Title A Content-based System for Music Recommendation and Visualization of User Preferences Working on Semantic Notions
Publication Type Conference Paper
Year of Publication 2011
Conference Name 9th International Workshop on Content-based Multimedia Indexing
Authors Bogdanov, D. , Haro G. G. , Fuhrmann F. , Xambó A. , Gómez E. , & Herrera P.
Conference Start Date 13/06/2011
Conference Location Madrid, Spain
Abstract The amount of digital music has grown unprecedentedly during the last years and requires the development of effective methods for search and retrieval. In particular, content-based reference elicitation for music recommendation is a challenging problem that is effectively addressed in this paper. We present a system which automatically generates recommendations and visualizes a user’s musical preferences, given her/his accounts on popular online music services. Using these services, the system retrieves a set of tracks preferred by a user, and further computes a semantic description of musical preferences based on raw audio information. For the audio analysis we used the capabilities of the Canoris API. Thereafter, the system generates music recommendations, using a semantic music similarity measure, and a user’s preference visualization, mapping semantic descriptors to visual elements.
preprint/postprint document http://mtg.upf.edu/files/publications/Bogdanov-et-al-CBMI2011.pdf
application/pdf icon Bogdanov-et-al-CBMI2011.pdf