Abstract. Traditional websites have long relied on users revealing their preferences explicitly through direct manipulation interfaces. However recent recommender systems have gone...
Collaboration is vital for the survival of companies in today’s fast moving economy and, therefore, finding and matching partners is an important task. This is true for many dif...
This paper reports on extensions to a decision-theoretic location-aware shopping guide and on the results of user studies that have accompanied its development. On the basis of the...
Thorsten Bohnenberger, Oliver Jacobs, Anthony Jame...
This paper studies people recommendations designed to help users find known, offline contacts and discover new friends on social networking sites. We evaluated four recommender al...
Jilin Chen, Werner Geyer, Casey Dugan, Michael J. ...
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...