A group of researchers from the Sound and Music Description research area @MTG (Dmitry Bogdanov, Martín Haro, Ferdinand Fuhrmann, Emilia Gómez and Perfecto Herrera), in collaboration with Open University (Anna Xambó) are publishing a paper on music recommendation and music preference visualization at the Information Processing & Management journal edited by Elsevier.

This work is part of their “The Musical Avatar“ project, a system that provides an iconic representation of one's musical preferences. The idea behind is to use computational tools to automatically describe your music (in audio format) in terms of melody, instrumentation, rhythm, etc and use this information to build an iconic representation of one’s musical preferences and to recommend you new music. All the system is only based on content description, i.e. on the signal itself and not on information about the music (context) as found on web sites, etc.

This is the reference:

• Dmitry Bogdanov, Martín Haro, Ferdinand Fuhrmann, Anna Xambó, Emilia Gómez, Perfecto Herrera. "Semantic audio content-based music recommendation and visualization based on user preference examples", Information Processing & Management, Volume 49, Issue 1, Pages 13-3, January 2013

The paper is also available at the MTG web page