An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the \Fab" adaptive W...
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
Ioannis Konstas, Vassilios Stathopoulos, Joemon M....
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
Patricia Victor, Chris Cornelis, Martine De Cock, ...
With current projections regarding the growth of Internet sales, online retailing raises many questions about how to market on the Net. While convenience impels consumers to purch...
George Prassas, Katherine C. Pramataris, Olga Papa...
Persistent Embodied Conversational Agents (ECA) can be used to assist users in their daily activities. We introduce the Health and Fitness Companion (HFC), which is a conversation...
Cameron Smith, Daniel Charlton, Li Zhang, Marc Cav...