Markus Schedl, Gerhard Widmer, Peter Knees, Tim Pohle,
"Assigning and Visualizing Music Genres by Web-based Co-occurrence Analysis."
: Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR 2007), Victoria, Canada., 2006
Assigning and Visualizing Music Genres by Web-based Co-occurrence Analysis.
Sprache des Titels:
Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR 2007), Victoria, Canada.
We explore a simple, web-based method for predicting the
genre of a given artist based on co-occurrence analysis, i.e.
analyzing co-occurrences of artist and genre names on music-
related web pages. To this end, we use the page counts
provided by Google to estimate the relatedness of an arbitrary
artist to each of a set of genres. We investigate four different
query schemes for obtaining the page counts and two
different probabilistic approaches for predicting the genre
of a given artist. Evaluation is performed on two test collections,
a large one with a quite general genre taxonomy and
a quite small one with rather specific genres.
Since our approach yields estimates for the relatedness of
an artist to every genre of a given genre set, we can derive
genre distributionswhich incorporate information about
artists that cannot be assigned a single genre. This allows
us to overcome the inflexible artist-genre assignment usually
used in music information systems. We present a simple
method to visualize such genre distributions with our
Traveller’s Sound Player. Finally, we briefly outline how to
adapt the presented approach to extract other properties of
music artists from the web.