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SIGKDD
2008
138views more  SIGKDD 2008»
13 years 7 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
ICRA
2000
IEEE
96views Robotics» more  ICRA 2000»
14 years 21 hour ago
Fault Detection for Robot Manipulators with Parametric Uncertainty: A Prediction Error Based Approach
—In this paper, we introduce a new approach to fault detection for robot manipulators. The technique, which is based on the isolation of fault signatures via filtered torque pred...
Warren E. Dixon, Ian D. Walker, Darren M. Dawson, ...
CORR
2006
Springer
178views Education» more  CORR 2006»
13 years 7 months ago
Low-rank matrix factorization with attributes
We develop a new collaborative filtering (CF) method that combines both previously known users' preferences, i.e. standard CF, as well as product/user attributes, i.e. classi...
Jacob Abernethy, Francis Bach, Theodoros Evgeniou,...
CIKM
2009
Springer
14 years 2 months ago
A social recommendation framework based on multi-scale continuous conditional random fields
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu
ICWL
2010
Springer
13 years 5 months ago
Supporting Flexible Competency Frameworks
Since Bloom's initial work on competencies in 1956, various competency systems have been designed and used to assess students' competencies. Different pedagogical researc...
Erica Melis, Arndt Faulhaber, Ahmad Salim Doost, C...