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ETRICS
2006
13 years 10 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
13 years 11 months 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
PVLDB
2011
13 years 1 months ago
Personalized Social Recommendations - Accurate or Private?
With the recent surge of social networks such as Facebook, new forms of recommendations have become possible – recommendations that rely on one’s social connections in order t...
Ashwin Machanavajjhala, Aleksandra Korolova, Atish...
ICCBR
2009
Springer
14 years 24 days ago
Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender
Personalizing the product recommendation task is a major focus of research in the area of conversational recommender systems. Conversational case-based recommender systems help use...
Maria Salamó, Sergio Escalera, Petia Radeva
ICDE
2007
IEEE
110views Database» more  ICDE 2007»
14 years 16 days ago
Embedding Emotional Context in Recommender Systems
Emotional context is becoming a promising paradigm to develop more intuitive and sensitive recommender systems. Ambient Recommender Systems, arise from the analysis of new trends ...
Gustavo González, Josep Lluís de la ...