A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Background: With the amount of influenza genome sequence data growing rapidly, researchers need machine assistance in selecting datasets and exploring the data. Enhanced visualiza...
Recommender systems attempt to reduce information overload and retain customers by selecting a subset of items from a universal set based on user preferences. While research in rec...
Group recommendation, which makes recommendations to a group of users instead of individuals, has become increasingly important in both the workspace and people's social acti...
Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Ri...
Abstract. The Semantic Web promises increased precision in automated information sorting, searching, organizing and summarizing. Realizing this requires significantly more reliabl...