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AOIS
2004
13 years 8 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
RECSYS
2010
ACM
13 years 7 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
ADAPTIVE
2007
Springer
14 years 1 months ago
Recommendation to Groups
Abstract. Recommender systems have traditionally recommended items to individual users, but there has recently been a proliferation of recommenders that address their recommendatio...
Anthony Jameson, Barry Smyth
AH
2006
Springer
14 years 1 months ago
Ways of Computing Diverse Collaborative Recommendations
Abstract. Conversational recommender systems adapt the sets of products they recommend in light of user feedback. Our contribution here is to devise and compare four different mec...
Derek G. Bridge, John Paul Kelly
ECWEB
2009
Springer
119views ECommerce» more  ECWEB 2009»
14 years 2 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