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WEBDB
2010
Springer
171views Database» more  WEBDB 2010»
14 years 12 days ago
Improved Recommendations via (More) Collaboration
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...
Rubi Boim, Haim Kaplan, Tova Milo, Ronitt Rubinfel...
VIS
2008
IEEE
120views Visualization» more  VIS 2008»
14 years 8 months ago
Size-based Transfer Functions: A New Volume Exploration Technique
The visualization of complex 3D images remains a challenge, a fact that is magnified by the difficulty to classify or segment volume data. In this paper, we introduce size-based tr...
Carlos D. Correa, Kwan-Liu Ma
CAIP
2007
Springer
101views Image Analysis» more  CAIP 2007»
14 years 1 months ago
Target Positioning with Dominant Feature Elements
We propose a dominant-feature based matching method for capturing a target in a video sequence through the dynamic decomposition of the target template. The target template is segm...
Zhuan Qing Huang, Zhuhan Jiang
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 7 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
WECWIS
2006
IEEE
161views ECommerce» more  WECWIS 2006»
14 years 1 months ago
Better control on recommender systems
In the context of electronic commerce, recommender systems enable merchants to assist customers in finding available products that will best satisfy their need. However, a recomm...
Esma Aïmeur, Flavien Serge Mani Onana