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MCRS: A Course Recommendation System for MOOCs

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成果类型:
会议论文
作者:
Huang, Tao;Zhan, Gaoqiang;Zhang, Hao*;Yang, Heng
通讯作者:
Zhang, Hao
作者机构:
[Zhan, Gaoqiang; Yang, Heng; Zhang, Hao; Huang, Tao] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
通讯机构:
[Zhang, Hao] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
MOOC;online course;big data;course recommendation;Apriori;Hadoop;Spark
期刊:
PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES ENHANCING EDUCATION (ICAT2E 2017)
ISSN:
2352-5398
年:
2017
卷:
68
页码:
82-85
会议名称:
International Conference on Advanced Technologies Enhancing Education (ICAT2E)
会议论文集名称:
Advances in Social Science Education and Humanities Research
会议时间:
MAR 18-20, 2017
会议地点:
Qingdao, PEOPLES R CHINA
会议主办单位:
[Huang, Tao;Zhan, Gaoqiang;Zhang, Hao;Yang, Heng] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
会议赞助商:
Qingdao Flushing Business Serv, Qingdao High Tech Investment & Dev Grp
出版地:
29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
出版者:
ATLANTIS PRESS
ISBN:
978-94-6252-289-3
基金类别:
National Office for Education Sciences Planning [CCA140152]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
With the popularization of MOOC platform, there is a tendency of big data in the number of online courses. Efficient and appropriate course recommendation can improve learning efficiency. According to the characteristics of MOOC platform, MCRS has made great improvement in course recommendation model and algorithm in this paper. The experimental results proves that MCRS's recommendation algorithm is more efficient than Hadoop Apriori algorithm, and recommend appropriate course to user...

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