Research on Personalized Courses Recommendation Technology Based on Hybrid Model

被引：0

作者：

Qi, T. ^{[1
]}

Tong, G. X. ^{[1
,2
]}

机构：

[1] Univ Shanghai Sci & Technol, Sch Opt Elect & Comp Engn, Shanghai, Peoples R China

[2] Shanghaikey Lab Modern Opt Syst, Shanghai, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON ADVANCED EDUCATIONAL TECHNOLOGY AND INFORMATION ENGINEERING (AETIE 2015) | 2015年

关键词：

personalized recommendation; hybrid model; similarity; user clustering;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Aimed at these problems of high school course, analysis the advantages and disadvantages of the current personalized courses recommendation algorithms and the main problems, the hybrid model personalized recommendation method based on content and user collaborative filtering had been put forward. The experimental result shows that, combined with the relevant recommendation technology, the recommendation result of the hybrid model recommendation algorithm is more accurate and efficient, which provides reasonable courses for students and reduce the blindness in selecting.

引用

页码：746 / 753

页数：8

共 21 条

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