Music Recommendation Based on Multidimensional Description and Similarity Measures

Authors:
Bozena Kostek;Andrzej Kaczmarek
Affiliations:
Audio Acoustics Laboratory, Faculty of Electronics, Telecomm. and Informatics, Gdańsk University of Technology, Poland. bokostek@audioacoustics.org;Multimedia Systems Department, Faculty of Electronics, Telecomm. and Informatics, Gdańsk University of Technology, Poland. akacz@sound.eti.pg.gda.pl
Venue:
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Year:
2013

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Abstract

This study aims to create an algorithm for assessing the degree to which songs belong to genres defined a priori. Such an algorithm is not aimed at providing unambiguous classification-labelling of songs, but at producing a multidimensional description encompassing all of the defined genres. The algorithm utilized data derived from the most relevant examples belonging to a particular genre of music. For this condition to be met, data must be appropriately selected. It is based on the fuzzy logic principles, which will be addressed further. The paper describes all steps of experiments along with examples of analyses and results obtained.