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Cross-Domain Personalized Learning Resources Recommendation Method
Joint Authors
Wang, Long
Zeng, Zhiyong
Li, Ruizhi
Pang, Hua
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-09
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
According to cross-domain personalized learning resources recommendation, a new personalized learning resources recommendation method is presented in this paper.
Firstly, the cross-domain learning resources recommendation model is given.
Then, a method of personalized information extraction from web logs is designed by making use of mixed interest measure which is presented in this paper.
Finally, a learning resources recommendation algorithm based on transfer learning technology is presented.
A time function and the weight constraint of wrong classified samples can be added to the classic TrAdaBoost algorithm.
Through the time function, the importance of samples date can be distinguished.
The weight constraint can be used to avoid the samples having too big or too small weight.
So the Accuracy and the efficiency of algorithm are improved.
Experiments on the real world dataset show that the proposed method could improve the quality and efficiency of learning resources recommendation services effectively.
American Psychological Association (APA)
Wang, Long& Zeng, Zhiyong& Li, Ruizhi& Pang, Hua. 2013. Cross-Domain Personalized Learning Resources Recommendation Method. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1011300
Modern Language Association (MLA)
Wang, Long…[et al.]. Cross-Domain Personalized Learning Resources Recommendation Method. Mathematical Problems in Engineering No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1011300
American Medical Association (AMA)
Wang, Long& Zeng, Zhiyong& Li, Ruizhi& Pang, Hua. Cross-Domain Personalized Learning Resources Recommendation Method. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1011300
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011300