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ETRICS
2006
13 years 11 months ago
Do You Trust Your Recommendations? An Exploration of Security and Privacy Issues in Recommender Systems
Recommender systems are widely used to help deal with the problem of information overload. However, recommenders raise serious privacy and security issues. The personal information...
Shyong K. Lam, Dan Frankowski, John Riedl
IDEAL
2004
Springer
14 years 23 days ago
Learning Users' Interests in a Market-Based Recommender System
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
SIGECOM
1999
ACM
117views ECommerce» more  SIGECOM 1999»
13 years 11 months ago
Recommender systems in e-commerce
Recommender systems are changing from novelties used by a few E-commerce sites, to serious business tools that are re-shaping the world of E-commerce. Many of the largest commerce...
J. Ben Schafer, Joseph A. Konstan, John Riedl
ECWEB
2009
Springer
119views ECommerce» more  ECWEB 2009»
14 years 1 days ago
Designing a Metamodel-Based Recommender System
Current recommender systems have to cope with a certain reservation because they are considered to be hard to maintain and to give rather schematic advice. This paper presents an a...
Sven Radde, Bettina Zach, Burkhard Freitag
EWCBR
2008
Springer
13 years 9 months ago
Conversational Case-Based Recommendations Exploiting a Structured Case Model
There are case-based recommender systems that generate personalized recommendations for users exploiting the knowledge contained in past recommendation cases. These systems assume ...
Quang Nhat Nguyen, Francesco Ricci