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...

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Bibliographic Details
Main Author: Horsburgh, Ben
Other Authors: Craw, Susan; Massie, Stewart
Published: Robert Gordon University 2013
Subjects:
004
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.580540