Using cultural metadata for artist recommendations

Our approach to generate recommendations for similar artists follows a recent tradition of authors tackling the problem not with content-based audio analysis. Following this novel procedure we rely on the acquisition, filtering and condensing of unstructured text-based information that can be found in the Web. The beauty of this approach lies in the possibility to access so-called cultural metadata that is the agglomeration of several independent -originally subjective - perspectives about music.