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A Hybrid Learning Object Recommendation Algorithm in E-Learning Context

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成果类型:
期刊论文
作者:
Liyong Wan;Chengling Zhao
通讯作者:
Wan, L.(liyongwan20120@126.com)
作者机构:
[Liyong Wan] National Engineering Research Center for E-Learning, Huazhong Normal University, Wuhan, China
[Chengling Zhao] Department of Information and Technology, Huazhong Normal University, Wuhan, China
[Liyong Wan] School of Media and Communication, Wuhan Textile University, Wuhan, China
语种:
英文
期刊:
Journal of Digital Content Technology and its Applications
ISSN:
1975-9339
年:
2012
卷:
6
期:
18
页码:
442-448
机构署名:
本校为第一机构
院系归属:
教育信息技术学院
国家数字化学习工程技术研究中心
摘要:
In adaptive e-learning system, the researchers focused on how to provide the learners with learning objects depending on their preferences and needs. This makes the process of filtering unwanted learning objects an increasing challenge for the learners. Content recommendation systems can suggest the users what they should learn. People have made great efforts on research about recommendation systems using content-based recommendation and collaboration-based recommendation. In this paper, the authors proposed a hybrid learning object recommendation method to improve the accuracy of the recommen...

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