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» Letting Users Choose Recommender Algorithms: An Experimental...
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SIGIR
2010
ACM
15 years 2 months ago
Interactive retrieval based on faceted feedback
Motivated by the commonly used faceted search interface in e-commerce, this paper investigates interactive relevance feedback mechanism based on faceted document metadata. In this...
Lanbo Zhang, Yi Zhang
KDD
2008
ACM
209views Data Mining» more  KDD 2008»
15 years 10 months ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
EUSFLAT
2003
103views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
Instance-based collaborative filtering with fuzzy labels
In recommender systems, user ratings of items are often represented in terms of linguistic labels such as “fair” or “very good”. We investigate the potential of fuzzy sets...
Eyke Hüllermeier
WWW
2005
ACM
15 years 11 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
GROUP
2010
ACM
14 years 8 months ago
Enhancing group recommendation by incorporating social relationship interactions
Group recommendation, which makes recommendations to a group of users instead of individuals, has become increasingly important in both the workspace and people's social acti...
Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Ri...