Teaching resources recommendation system based on personality design

被引：0
|
作者：
Luo, Qi [1 ]
机构：
[1] Wuhan Univ Technol, Sch Elect Engn, Wuhan 430070, Peoples R China
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词：
teaching resources; personalized recommendation; interest characteristic; web based learning;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the development and widespread of network, web based learning has become one of the most important ways of educating and researching, in order to meet personalized needs of learners, the technologies of personality and adaptive filtering is applied in the paper, while the model of personalized teaching resources recommendation system is proposed. This model can study and trace the personalized interests automatically, and also can filter teaching resources according to learner's personalized interest characteristic, realize the personalized recommendation service of teaching resource. Some key realization technologies are also introduced in the paper.
引用
收藏
页码：4154 / 4158
页数：5
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