Hey! ho! let's go! explanatory music recommendations with dbrec

  • Authors:
  • Alexandre Passant;Stefan Decker

  • Affiliations:
  • Digital Enterprise Research Institute, National University of Ireland, Galway;Digital Enterprise Research Institute, National University of Ireland, Galway

  • Venue:
  • ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
  • Year:
  • 2010

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Abstract

In this demo paper, we present dbrec (http://dbrec.net), a music recommendation system using Linked Data, where recommendation are computed from DBpedia using an algorithm for Linked Data Semantic Distance (LDSD). We describe how the system can be used to get recommendations for approximately 40,000 artists and bands, and in particular how it provides explanatory recommendations to the end-user. In addition, we discuss the research background of dbrec, including the LDSD algorithm and its related ontology.