Tenured full professors | Decision support and recommender systems
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.
76203 · INF/01 · L-31 Computer Science - 2020 · EN
76401 · INF/01 · L-31 Informatics and Management · EN
73034 · INF/01 · LM-18 Computational Data Science · EN
Information Retrieval, Machine Learning, Recommender Systems, Artificial Intelligence, Applications to Tourism, Media and Health.