The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
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 provides an overview of SANDS (Specialized Active Networking for Distributed Simulation), a DARPA-ITO sponsored research project that is using active networking to deve...
Steve Zabele, M. Dorsch, Zihui Ge, Ping Ji, Mark K...
Two- and three-dimensional isotropic and anisotropic spatial filters for adaptive fMRI data analysis are compared in terms of activation detection sensitivity and specificity. Eva...
Joakim Rydell, Magnus Borga, Hans Knutsson, Peter ...
In this paper I propose a context-aware collaborative filtering system that can predict a user's preference in different context situations based on past user-experiences. Th...