Abstract. Provision of personalized recommendations to users requires accurate modeling of their interests and needs. This paper proposes a general framework and specific methodolo...
Dialogue systems for health communication hold out the promise of providing intelligent assistance to patients through natural interfaces that require no training to use. But in o...
James F. Allen, George Ferguson, Nate Blaylock, Do...
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Conversational recommender systems (CRSs) assist online users in their information-seeking and decision making tasks by supporting an interactive process. Although these processes...
Locating resources of interest in a large resourceintensive environment is a challenging problem. In this paper we present research on addressing this problem through the developm...
Mehmet S. Aktas, Marlon E. Pierce, Geoffrey Fox, D...