Integrating content and semantic representations for music recommendation
Music recommender systems are used by millions of people every day to discover new and exciting music. Central to making recommendations is the representation of each track, which may be used to calculate similarity. Content representations capture the musical and texture facets of each track, and s...
Main Author: | Horsburgh, Ben |
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Other Authors: | Craw, Susan; Massie, Stewart |
Published: |
Robert Gordon University
2013
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Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.580540 |
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