We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
Our research goal is to design systems that enable humans to teach tedious, repetitive, simple tasks to a computer. We propose here a learner/problem solver architecture for such ...
To scale to millions of Internet users with good performance, content delivery networks (CDNs) must balance requests between content servers while assigning clients to nearby serv...
In the past, architectures of Augmented Reality systems have been widely different and taylored to specific tasks. In this paper, we use the example of the SHEEP game to show how...
Asa MacWilliams, Christian Sandor, Martin Wagner, ...