We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
Mark O'Connor, Dan Cosley, Joseph A. Konstan, John...
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
Java performance is far from being trivial to benchmark because it is affected by various factors such as the Java application, its input, the virtual machine, the garbage collect...
The existence and use of standard test collections in information retrieval experimentation allows results to be compared between research groups and over time. Such comparisons, ...
Timothy G. Armstrong, Alistair Moffat, William Web...
An increasing number of users are adopting large, multimonitor displays. The resulting setups cover such a broad viewing angle that users can no longer simultaneously perceive all...
Raphael Hoffmann, Patrick Baudisch, Daniel S. Weld