Current conversational recommender systems are unable to offer guarantees on the quality of their recommendations due to a lack of principled user utility models. We develop an ap...
Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach to n...
Cognitive task analysis (CTA) approaches are currently needed in many domains to provide explicit guidance on redesigning existing systems. This study used goal-directed task analy...
David B. Kaber, Noa Segall, Rebecca S. Green, K. E...
Critiquing-based recommenders do not require users to state all of their preferences upfront or rate a set of previously experienced products. Compared to other types of recommend...
Recommender systems have been developed for a wide variety of applications (ranging from books, to holidays, to web pages). These systems have used a number of different approache...
Yan Zheng Wei, Nicholas R. Jennings, Luc Moreau, W...