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A personalized recommendation system for teaching resources in sports using fuzzy C-means clustering technique

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成果类型:
期刊论文
作者:
Chen, Jiayong;Zhou, Guangzhen;Zhong, Yize
通讯作者:
Chen, JY
作者机构:
[Chen, Jiayong; Zhong, Yize; Zhou, Guangzhen] Cent China Normal Univ, Sch Phys Educ & Sports, Wuhan 430070, Hubei, Peoples R China.
通讯机构:
[Chen, JY ] C
Cent China Normal Univ, Sch Phys Educ & Sports, Wuhan 430070, Hubei, Peoples R China.
语种:
英文
关键词:
Data mining;Personalized teaching;Recommendation of teaching resources;Fuzzy clustering algorithm
期刊:
Soft Computing
ISSN:
1432-7643
年:
2024
卷:
28
期:
1
页码:
703-720
基金类别:
No funding was provided for the completion of this study.
机构署名:
本校为第一且通讯机构
院系归属:
体育学院
摘要:
Due to the fast-growing Internet speed, processing power, and the use of sophisticated algorithms, information is generated at a very fast speed. This information is broad in scope and covers a variety of fields, including the medical field, transportation sector, business firms, and education institutes. Due to the abundance of information, it is challenging to identify useful materials in general, but finding the right materials for students is particularly challenging. To address this issue, this paper aims to study the design of a personalized sports teaching resource recommendation system...

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