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ICDE
2007
IEEE
110views Database» more  ICDE 2007»
14 years 2 months 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 ...
ICDE
2007
IEEE
90views Database» more  ICDE 2007»
14 years 2 months ago
Music Recommendation Mapping and Interface Based on Structural Network Entropy
Recommendation systems generally produce the results of their output to their users in the form of an ordinal list. In the interest of simplicity, these lists are often obscure, ,...
Justin Donaldson
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
AOIS
2004
13 years 9 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
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
CIKM
2008
Springer
13 years 9 months ago
Tag-based filtering for personalized bookmark recommendations
This paper investigates using social tags for the purpose of making personalized content recommendations. Our tag-based recommender creates a personalized bookmark recommendation ...
Pavan Kumar Vatturi, Werner Geyer, Casey Dugan, Mi...