An Affective Music Recommendation System
Date
2010-12-22T18:17:08Z
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Abstract
Given that the affective features of music are often the most
relevant criteria in selecting music, we propose in this abstract
that a music database should be able to be categorized according
to its affective influence, and likewise, music recommendations
made with consideration to the user’s current affective state. This
can be made possible using pre-existing emotion-measuring
technology with new algorithms for selecting music with
appropriate affective influence, as proven by several studies. An
affective music recommender system could avoid many of the
inadequacies of traditional recommender systems.
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Keywords
Music recommendation