A hybrid recommendation approach for network teaching resources based on knowledge-tree

doi:10.1109/ChiCC.2014.6895511

CASIA OpenIR > 综合信息系统研究中心

	A hybrid recommendation approach for network teaching resources based on knowledge-tree
	Zhang, Haidong; Ni, Wancheng; Zhao, Meijing; Liu, Yu; Yang, Yiping
	2014
会议名称	Proceedings of the 33rd Chinese Control Conference
会议录名称	Proceedings of the 33rd Chinese Control Conference
会议日期	28-30 July 2014
会议地点	Nanjing
摘要	Recommender systems could be used to help learners or teachers find useful network teaching resources effectively in technology enhanced learning (TEL), but the quality of recommendations is always limited by cold start, data sparsity, lack of learning or teaching contextual aware, and so on. Considering the features of network teaching resources, a hybrid recommendation approach is presented in this paper. The presented approach takes user context, association rules between resources, association rules between resources and the structure of lessons into consideration, and is mainly composed of five modules. These five modules are: (1) Course model, which is used to express the structure of lessons; (2) Association rules between resources, which are discovered in resources association rule mining module; (3) Association rules between resources and lessons, which are discovered in lessons and resources association rule mining module; (4) User dynamic profile, namely, user context which are found in reasoning user dynamic profile module; (5) Hybrid recommendation, which generates recommended lists in hybrid recommendation module. Finally, experiments have been done on a real dataset from “HHT Education Cloud”, an enterprise education resources sharing platform. The results have shown that our hybrid method can outperform the general recommendation method. The Recall has an improvement ranging from 0.131 to 0.213, and the Precision has an improvement ranging from 0 to 0.152, when the number of recommendations changes from 1 to 40.
关键词	Education Association Rules Recommender Systems Context Dynamic Scheduling Collaboration
DOI	10.1109/ChiCC.2014.6895511
收录类别	EI
引用统计
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13023
专题	综合信息系统研究中心
通讯作者	Ni, Wancheng
作者单位	1.CASIA-HHT Joint Laboratory of Smart Education, China 2.CASIA-HHT Joint Laboratory of Smart Education, China 3.CASIA-HHT Joint Laboratory of Smart Education, China 4.Integrated Information Research Center, Institute of Automation Chinese Academy of Science, Beijing, 100190, China 5.Integrated Information Research Center, Institute of Automation Chinese Academy of Science, Beijing, 100190, China
推荐引用方式 GB/T 7714	Zhang, Haidong,Ni, Wancheng,Zhao, Meijing,et al. A hybrid recommendation approach for network teaching resources based on knowledge-tree[C],2014.

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