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.
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Passant, A., Decker, S. (2010). Hey! Ho! Let’s Go! Explanatory Music Recommendations with dbrec. In: Aroyo, L., et al. The Semantic Web: Research and Applications. ESWC 2010. Lecture Notes in Computer Science, vol 6089. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13489-0_34
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DOI: https://doi.org/10.1007/978-3-642-13489-0_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13488-3
Online ISBN: 978-3-642-13489-0
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