"Here's a preliminary data mining analysis of musical social networking service Last.fm. An automated classification into clusters or sub populations with related musical genres reveals the structure of musical preferences among the users in a relatively large sample population. Musical tag clouds are adopted to characterise users and populations, which adds a highly descriptive value and aids with the interpretation of the results."
N. Tatti, T. Mielikainen, A. Gionis, and H. Mannila. ICDM '06: Proceedings of the Sixth International Conference on Data Mining, page 603--612. Washington, DC, USA, IEEE Computer Society, (2006)
Y. Yang, and J. Calmet. CIMCA '05: Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06), page 457--463. Washington, DC, USA, IEEE Computer Society, (2005)
Z. Huang, X. Li, and H. Chen. JCDL '05: Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries, page 141--142. New York, NY, USA, ACM Press, (2005)