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Research of Personalized Course Recommended Algorithm based on the Hybrid Recommendation

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成果类型:
期刊论文
作者:
Qing Yang;Peiling Yuan;Xi Zhu
作者机构:
Department of Computer, Central China Normal University, Wuhan,China
TCL Yunchuang Technology Co., Ltd., Guangdong, China
语种:
英文
关键词:
conference;proceedings;materials;engineering;chemistry;open access
期刊:
MATEC Web of Conferences
年:
2018
卷:
173
机构署名:
本校为第一机构
院系归属:
计算机学院
摘要:
This paper presents a personalized course recommended algorithm based on the hybrid recommendation. The recommendation algorithm uses the improved NewApriori algorithm to implements the association rule recommendation, and the user-based collaborative filtering algorithm is the main part of the algorithm. The hybrid algorithm adds the weight to the recommendation result of the user-based collaborative filtering and association rule recommendation, implementing a hybrid recommendation algorithm based on both of them. It has solved the problem of data sparsity and cold-start partially and provid...

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