Taking advantage of editorial metadata to recommend music

Abstract

Comunicació presentada al 9th International Symposium on Computer Music Modeling and Retrieval, celebrat del 19 al 22 de juny de 2012 a Londres, Regne Unit.In this work we propose a novel approach to music recommendation based exclusively on editorial metadata. To this end, we propose to use a public database of music releases Discogs.com, which contains extensive information about artists, their releases and record labels. We rely on an explicit set of music tracks provided by the user as evidence of his/her music preferences to construct a user profile suitable for distance-based music recommendation. We evaluate the proposed method against two purely metadata-based approaches and one approach partially based on audio content in a listening experiment with 27 participants. The results of subjective evaluation show that the proposed method is competitive to the state-of-the-art recommenders based on commercial metadata, while being easily implemented relying only on open public data.The authors would like to thank all participants involved in the evaluation. This research has been partially supported by the FI Grant of Generalitat de Catalunya (AGAUR) and the Classical Planet (TSI-070100- 2009-407, MITYC), DRIMS (TIN2009-14247-C02-01, MICINN), and MIRES (EC-FP7 ICT-2011.1.5 Networked Media and Search Systems, grant agreement No. 287711) projects