2010 | OriginalPaper | Chapter
Hey! Ho! Let’s Go! Explanatory Music Recommendations with dbrec
Authors : Alexandre Passant, Stefan Decker
Published in: The Semantic Web: Research and Applications
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.