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» A Survey of Explanations in Recommender Systems
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UM
2009
Springer
14 years 1 months ago
How Users Perceive and Appraise Personalized Recommendations
Abstract. Traditional websites have long relied on users revealing their preferences explicitly through direct manipulation interfaces. However recent recommender systems have gone...
Nicolas Jones, Pearl Pu, Li Chen
ECIS
2003
13 years 8 months ago
Enhancing partner matching with recommendation systems
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...
Tobias Keim, Frank Färber, Tim Weitzel
PERVASIVE
2005
Springer
14 years 26 days ago
Decision-Theoretic Planning Meets User Requirements: Enhancements and Studies of an Intelligent Shopping Guide
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...
CHI
2009
ACM
14 years 2 days ago
Make new friends, but keep the old: recommending people on social networking sites
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. ...
CVIU
2008
113views more  CVIU 2008»
13 years 7 months ago
Image understanding for iris biometrics: A survey
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...