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Summary. In his work, Paolo A. Spada proposes a recommendation system for the Internet radio. The system developed in this thesis is a personalized Internet radio that tries to satisfy preferences of the users adding music tracks they might like in their playlists. The system implements the implicit culture approach to help people to share their listening habits in order to get useful recommendations. Since the recommendation approach used in the system combines both content-based and collaborative filtering the system can be classified as a hybrid recommendation system.