计算机工程与应用2018，Vol.54Issue(10)：229-235,7.DOI:10.3778/j.issn.1002-8331.1612-0019
基于知识点层次图的个性化习题推荐算法
Personalized exercises Recommendation algorithm based on Knowledge Hierarchical Graph,ReKHG
摘要
Abstract
Aiming at the low pertinence and efficiency problem caused by massive exercises, a personalized exercises Recommendation algorithm based on Knowledge Hierarchical Graph(ReKHG)is proposed. Firstly, in consideration of the characteristic of system architecture,a weight map is built,which characterizes the knowledge hierarchical relations. This map can reflect the hierarchical relationship among knowledges efficiently.Then,a personalized exercise recommen-dation algorithm is proposed according to students'mastery of knowledges and their hierarchical graph.The ReKHG algo-rithm acquires students'weakness of knowledge mastery by updating knowledge losing-rate matrix of students.Experi-mental results show that ReKHG algorithm can recommend appropriate exercises for the targeted students.关键词
知识点/层次图/习题推荐/失分率矩阵Key words
knowledge/hierarchical graph/exercises recommendation/losing-rate matrix分类
信息技术与安全科学引用本文复制引用
蒋昌猛,冯筠,孙霞,陈静,张蕾,冯宏伟..基于知识点层次图的个性化习题推荐算法[J].计算机工程与应用,2018,54(10):229-235,7.基金项目
陕西省自然科学基金(No.2014JQ8367) （No.2014JQ8367）
西北大学研究生教学改革项目(No.YJD15003,No.YJG14003) （No.YJD15003,No.YJG14003）
陕西省天地网技术重点实验室开放课题基金资助. （）
