Personalized Recommendation Service System in E-Learning Using Web Intelligence

Authors:
Xinye Li;Qi Luo;Jinsha Yuan
Affiliations:
Department of Electronic and Communication Engineering,North China Electric, Power University, Baoding 071003, China;Information Engineering school, Wuhan University of Science and Technology and Zhongnan Branch, Wuhan 430223, China and College of Engineering and Technology, Southwest University, Chongqing 40071 ...;Department of Electronic and Communication Engineering,North China Electric, Power University, Baoding 071003, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Year:
2007

Citing 0
Cited 1

Educational data mining: a review of the state of the art

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

Quantified Score

Hi-index	0.00

Visualization

Abstract

Personalized education is a very hot topic in distant research. To realize personalized E-learning, a personalized recommendation service system was proposed and realized. Web technologies of personality and adaptive filtering were applied in the system. The structure of system, workflow and key technologies of realizing feature selection module, user interest module, personalized teaching resources filtering module were introduced in the paper.