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. © 2010 Springer-Verlag.
Cite
CITATION STYLE
Passant, A., & Decker, S. (2010). Hey! Ho! Let’s go! Explanatory music recommendations with dbrec. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6089 LNCS, pp. 411–415). https://doi.org/10.1007/978-3-642-13489-0_34
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