Title :
A Personalized Resource Recommendation System Using Data Mining
Author :
Huimin Qi ; Ming Cui ; Mingming Xiao
Author_Institution :
Dept. of Educ. Technol., Capital Normal Univ., Beijing, China
Abstract :
This paper offers an overview on the concept of "personalization" applied to e-Learning processes. And we introduce a Personalized Resource Recommendation System(PRRS) in e-Learning by using Data Mining techniques. In the PRRS, there are four sub-modules: Learner Model, Learning Materials Clustering, Personalized Recommendation and Personalized Evaluation. PRRS is proposed for the purpose of recommending personalized resource to each learner in the e-Learning platform.
Keywords :
data mining; learning (artificial intelligence); pattern clustering; recommender systems; PRRS; data mining; e-Learning; learning materials clustering; personalized resource recommendation system; Data mining; Data models; Electronic learning; Internet; Learning systems; Materials; Data Mining; e-Learning; model; personalized resource recommendation;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.1342
