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...
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research paper...
Sean M. McNee, Nishikant Kapoor, Joseph A. Konstan
This study addresses a long-standing and wellrecognized problem in KM research, namely the lack of a cumulative tradition. This problem is addressed by an intensive and critical r...
This survey covers the historical development and current state of the art in image understanding for iris biometrics. Most research publications can be categorized as making thei...
Kevin W. Bowyer, Karen Hollingsworth, Patrick J. F...