Social software for music

Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 200

Web-Based Artist Categorization

We present a novel approach in categorizing artists into subjective categories such as genre. We base our method on co-occurrences on the web, found with the Google search engine. A direct mapping between artists and categories proved to be unreliable. We use the categories mapped to closely related artists to obtain a more reliable mapping. The method is tested on a genre classification test set with convincing results. Moreover, mood categorization is explored using the same techniques