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» Recommender system for predicting student performance
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RECSYS
2010
ACM
13 years 7 months ago
Beyond accuracy: evaluating recommender systems by coverage and serendipity
When we evaluate the quality of recommender systems (RS), most approaches only focus on the predictive accuracy of these systems. Recent works suggest that beyond accuracy there i...
Mouzhi Ge, Carla Delgado-Battenfeld, Dietmar Janna...
ACMSE
2006
ACM
14 years 1 months ago
Support vector machines for collaborative filtering
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
Zhonghang Xia, Yulin Dong, Guangming Xing
AIED
2007
Springer
14 years 1 months ago
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
Carole R. Beal, Lei Qu
RECSYS
2009
ACM
14 years 2 months ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
HICSS
2009
IEEE
129views Biometrics» more  HICSS 2009»
14 years 2 months ago
Using Collaborative Filtering Algorithms as eLearning Tools
Collaborative information filtering techniques play a key role in many Web 2.0 applications. While they are currently mainly used for business purposes such as product recommendat...
Frank Loll, Niels Pinkwart