The computer scientist and engineer Pedro Cano is an expert on music recommendation systems, the operation mode of complex networks and the concept of the Semantic Web. In his lecture he gives an overview about the state of the newest research and technologies in the field of music recommendation. These systems are nowadays the basis for a number of new online music services and will have a great impact in the near future on the reception and distribution of music. Music recommendation systems analyze the preferences of the consumers and the structure of songs with complex statistic methods to propose applicable similar songs or musicians. Cano will focus on the problematic question of how to curb the system’s promotion of already popular bands and songs, which creates an overly homogeneous marketplace.  The goal of his research is to develop a new recommendation system that reflects the true variety and diversity of the music market and introduces the so called 'Long Tail' to the public and the commercial markets.