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Collaborative Filtering Recommendation Algorithm Classification and Comparative Study

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成果类型:
期刊论文、会议论文
作者:
Chao, Duan*;Lu Kaili;Jing, Zhang;Xie, Jerry
通讯作者:
Chao, Duan
作者机构:
[Xie, Jerry; Chao, Duan; Lu Kaili; Jing, Zhang] Cent China Normal Univ, Natl Engn Ctr E Learning, Wuhan 430079, Peoples R China.
通讯机构:
[Chao, Duan] C
Cent China Normal Univ, Natl Engn Ctr E Learning, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
recommendation algorithm;collaborative filtering;teaching resources;classification;comparative
期刊:
PROCEEDINGS OF 2019 THE 4TH INTERNATIONAL CONFERENCE ON DISTANCE EDUCATION AND LEARNING (ICDEL 2019)
年:
2019
页码:
Pages 106–111
会议名称:
4th International Conference on Distance Education and Learning (ICDEL)
会议时间:
MAY 24-27, 2019
会议地点:
Shanghai, PEOPLES R CHINA
会议主办单位:
[Chao, Duan;Lu Kaili;Jing, Zhang;Xie, Jerry] Cent China Normal Univ, Natl Engn Ctr E Learning, Wuhan 430079, Peoples R China.
出版地:
1515 BROADWAY, NEW YORK, NY 10036-9998 USA
出版者:
ASSOC COMPUTING MACHINERY
ISBN:
978-1-4503-6265-8
基金类别:
Ministry of Education of the People's Republic of ChinaMinistry of Education, China [17YJA880030]
机构署名:
本校为第一且通讯机构
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:
With the rapid development of the information society, both the producers of teaching resources and students are facing enormous challenges. In this context, a recommendation system that can connect the producers and students of teaching resources to achieve a win-win situation is proposed. Collaborative filtering is currently the most successful recommendation technique. In this article the authors firstly introduced the collaborative filtering recommendation algorithm from the angle of user-based, project-based and model-based algorithms. Then they studied the current popular SVD and RBM rec...

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