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CORR
2002
Springer
132views Education» more  CORR 2002»
14 years 9 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure
ICMCS
2005
IEEE
151views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Face and Eye Rectification in Video Conference Using Artificial Neural Network
The lack of eye contact in video conference degrades the user’s experience. This problem has been known and studied for many years. There are hardware-based solutions to the eye...
Ben Yip
EWCBR
1998
Springer
15 years 2 months ago
Case-Based Reasoning in CARE-PARTNER: Gathering Evidence for Evidence-Based Medical Practice
This paper presents the CARE-PARTNER system. Functionally, it offers via the WWW knowledge-support assistance to clinicians responsible for the long-term follow-up of stem-cell pos...
Isabelle Bichindaritz, Emin Kansu, Keith M. Sulliv...
PRICAI
2004
Springer
15 years 3 months ago
A New Collaborative Recommender System Addressing Three Problems
Abstract. With the development of e-commerce and information access, a large amount of information can be found online, which makes a good recommendation service to be urgently nec...
Byeong Man Kim, Qing Li, Jong-Wan Kim, Jinsoo Kim
ATAL
2003
Springer
15 years 3 months ago
Recommender systems: a market-based design
Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have ...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings