One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This ...
In peer-to-peer (P2P) environments, trust is a very important issue when transactions/interactions occur between peers. In general, the trust evaluation on transactions/interactio...
: The challenge of finding appropriate learning objects is one of the bottlenecks for end users in Learning Object Repositories (LORs). This paper investigates usability problems o...
Jehad Najjar, Joris Klerkx, Riina Vuorikari, Erik ...
In this paper, we present our case-based browsing advisor for the Web, called BROADWAY. BROADWAY follows a group of users during their navigations and supports an indirect collabor...
We consider recommender systems that filter information and only show the most preferred items. Good recommendations can be provided only when an accurate model of the user's...