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Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective(2013)The accuracy of collaborative-filtering recommender systems largely depends on three factors: the quality of the rating prediction algorithm, and the quantity and quality of available ratings. While research in the field ...
(ACM, 2013)Query revisions in a conversational system can be efficiently computed by assuming that the profiles of the potential users are in a predefined, a priori known and finite set. However, without any additional knowledge of ...
(IEEE, 2013)Ospedale Amico (Friendly Hospital) is a mobile and personalized information system, aimed at improving the quality of the communication between medical staff and patients. The system provides the patients with up-to-date ...
(IEEE, 2013)We present an easy-to deploy lightweight mobile system for indoor navigation in the hospital. We describe a pilot study that helped us select the map layout and we outline the system implementation. © 2013 IEEE.