Short bio

Francesco Ricci is full professor of the Faculty of Engineering. F. Ricci has established in Bolzano a reference point for the research on Recommender Systems. He has co-edited the Recommender Systems Handbook (Springer 2022), and has been actively working in this community as President of the Steering Committee of the ACM conference on Recommender Systems (2007-2010). He was previously (from 2000 to 2006) technical director of the eCommerce and Tourism Research Lab (eCTRL) at ITC-irst (Trento, Italy). F. Ricci is author of more than two hundred fifty refereed publications and, according to Google Scholar, has h-index 60 and around 22000 citations. Recommendation techniques designed by F.Ricci are used in tourism portals, media monitoring system, information systems and dating web sites.
 

Macroaree di ricerca

Information Retrieval, Machine Learning, Recommender Systems, Artificial Intelligence, Applications to Tourism, Media and Health.