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
Conference NameProceedings of the 33rd Chinese Control Conference
Source PublicationProceedings of the 33rd Chinese Control Conference
Conference Date28-30 July 2014
Conference PlaceNanjing
AbstractRecommender 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.
KeywordEducation Association Rules Recommender Systems Context Dynamic Scheduling Collaboration
DOI10.1109/ChiCC.2014.6895511
Indexed ByEI
Citation statistics
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13023
Collection综合信息系统研究中心
Corresponding AuthorNi, Wancheng
Affiliation1.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
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Final-Paper.pdf(193KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, Haidong]'s Articles
[Ni, Wancheng]'s Articles
[Zhao, Meijing]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Haidong]'s Articles
[Ni, Wancheng]'s Articles
[Zhao, Meijing]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Haidong]'s Articles
[Ni, Wancheng]'s Articles
[Zhao, Meijing]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Final-Paper.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.