Abstract: This paper presents a novel activity recommendation system based on the secure federated network Eduroam. The system, according to the users’ profiles, is able to offer personalized information in a campus environment. The recommendation system uses a basic user’s profile information from the directory services of Eduroam and an optional extended user’s profile with advanced personal information provided from users. The system is able to recommend even with just only the basic information from Eduroam. Therefore, users can obtain recommendations without a prior configuration and they can still obtaining recommendations when they are visiting a foreign university within the Eduroam federation in a transparent way.
Keywords: User profiling, Intelligent Environment (IE), ontology, Eduroam, similarity
