10th International Society for Music Information Retrieval Conference (ISMIR-09)
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
Many music portals offer the possibility to explore music
collections via browsing automatically generated music
recommendations. In this paper we argue that such
music recommender systems can be transformed into an
equivalent recommendation graph. We then analyze the
recommendation graph of a real-world content-based music
recommender systems to find out if users can really
explore the underlying song database by following those
recommendations. We find that some songs are not recommended
at all and are consequently not reachable via
browsing. We then take a first attempt to modify a recommendation
network in such a way that the resulting network
is better suited to explore the respective music space.
Forschungs-