Massimiliano Albanese, University of Naples Federico II
Carmine Cesarano, University of Naples Federico II
Antonio Picariello, University of Naples Federico II
Browsing large multimedia databases is becoming a challenging problem, due to the availability of great amounts of data and the complexity of retrieval. In this paper we propose a system that assists a user in browsing a digital collection making useful recommendations. The system combines computer vision techniques and taxonomic classifcations to measure the similarity between objects and adopts an innovative strategy to take into account user behavior.