The number of research papers available is growing at a staggering rate. Researchers need tools to help them find the papers they should read among all the papers published each y...
Roberto Torres, Sean M. McNee, Mara Abel, Joseph A...
Recommender systems have evolved in the last years as specialized tools to assist users in a plethora of computermediated tasks by providing guidelines or hints. Most recommender ...
Although employees’ expertise has long been regarded as an important asset in organizations at least on a par with capital, goods and documented information, it is only recently...
Using local features with nearest neighbor search and direct voting obtains excellent results for various image classification tasks. In this work we decompose the method into its...
Daniel Keysers, Hermann Ney, Roberto Paredes, Tobi...
This paper describes the process by which we constructed a user model for ERST - an External Representation Selection Tutor - which recommends external representations (ERs) for pa...