To provide personalized health recommendations concerning disabled persons, an adaptive system needs a detailed user model that can account for the peculiar aspects of the many exi...
Luca Chittaro, Roberto Ranon, Luca De Marco, Augus...
This paper presents an approach to establish and support learning communities. Based on task context information (which is extracted from multiple sources) and relying on the docum...
In recommender systems, user ratings of items are often represented in terms of linguistic labels such as “fair” or “very good”. We investigate the potential of fuzzy sets...
This work addresses a particular kind of cross domain personalization task consisting of selecting simultaneously two items in two different domains and recommending them togethe...
Recommender systems have been proposed to exploit the potential of social network by filtering the information and offer recommendations to a user that he is predicted to like. Co...