dbrec — Music Recommendations Using DBpedia

  • Alexandre Passant
Conference paper

DOI: 10.1007/978-3-642-17749-1_14

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6497)
Cite this paper as:
Passant A. (2010) dbrec — Music Recommendations Using DBpedia. In: Patel-Schneider P.F. et al. (eds) The Semantic Web – ISWC 2010. ISWC 2010. Lecture Notes in Computer Science, vol 6497. Springer, Berlin, Heidelberg

Abstract

This paper describes the theoretical background and the implementation of dbrec, a music recommendation system built on top of DBpedia, offering recommendations for more than 39,000 bands and solo artists. We discuss the various challenges and lessons learnt while building it, providing relevant insights for people developing applications consuming Linked Data. Furthermore, we provide a user-centric evaluation of the system, notably by comparing it to last.fm.

Keywords

Semantic Web Applications Linked Data Recommendation Systems Semantic Distance DBpedia 

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Alexandre Passant
    • 1
  1. 1.Digital Enterprise Research InstituteNational University of IrelandGalwayIreland

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