Abstract: The seminar will provide a comprehensive overview on the state of the art of Music Recommender Systems, highlighting practical implementation issues and focusing on some open challenges including the serendipity and diversity aspects of recommendations, the trust issues and the problems related to music profiles portability. The lesson learned during the implementation and running of the recommendation radio Mentor.FM will be shared with the audience.

 

Bio: Eugenio Tacchini graduated in Economics at Università Cattolica del Sacro Cuore di Piacenza (Italy) and in Computer Science at the Università degli studi di Milano (Italy), where he also got a PhD in Computer Science in 2012 with a thesis on Music Recommender Systems. During his PhD he has been visiting researcher at the Freie Universität Berlin, working on Semantic Web and linked Data and at the University of California, Berkeley, working on Recommender Systems. He is currently a lecturer of Information Systems a the Università Cattolica del Sacro Cuore di Piacenza and an entrepreneur in the fields of Rapid Application Development tools and Music Recommender Systems. During 2015 he also teaches an introductory course to Recommender Systems at Universitat Politecnica de Catalunya, Barcelona (Spain).