Collaborative filtering has proven to be valuable for recommending items in many different domains. In this paper, we explore the use of collaborative filtering to recommend resea...
Sean M. McNee, Istvan Albert, Dan Cosley, Prateep ...
Malicious insiders’ difficult-to-detect activities pose serious threats to the intelligence community (IC) when these activities go undetected. A novel approach that integrates ...
Svetlana Symonenko, Elizabeth D. Liddy, Ozgur Yilm...
People form consistent impressions of others given surprisingly little information. With the advent of social networks, impressions now may form online rather than in a face-to-fa...
Fairness in multihop ad hoc networks has received considerable attention in the literature. Many schemes have been proposed, which attempt to compute the “optimal” bit rates o...
New forms of social affective applications are emerging, bringing with them challenges in design and evaluation. We report on one such application, conveying wellbeing for both pe...