期刊：
Proceedings of 2012 International Conference on Modelling, Identification and Control, ICMIC 2012,2012年:708-712
通讯作者：
Dai, Z.(dzc@mail.ccnu.edu.cn)
作者机构：
[Wang, Shengming; Yan, Zhonghua; Dai, Zhicheng] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan Hubei, 430079, China
期刊：
ACM International Conference Proceeding Series,2012年:1622-1626
通讯作者：
Li, F.
作者机构：
Department of Computer Science, Central China Normal University, Wuhan, China;National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China;College of Information Science and Technology, Drexel University, Philadelphia, PA, United States
通讯机构：
National Engineering Research Center for E-Learning, Central China Normal University, China
会议名称：
Proceedings of the 21st ACM international conference on Information and knowledge management
期刊：
ACM International Conference Proceeding Series,2012年:106-109
通讯作者：
Hu, M.(sophie423@163.com)
作者机构：
[Hu, Min; Li, Hao] National Engineering Research Center for E-Learning, Central China Normal University, 152, Luoyu Road, Wuhan, Hubei, China;[Liu, Qingtang] Department of Information Technology, Central China Normal University, 152, Luoyu Road, Wuhan, Hubei, China
通讯机构：
National Engineering Research Center for E-Learning, Central China Normal University, 152, Luoyu Road, China
会议名称：
4th International Conference on Internet Multimedia Computing and Service, ICIMCS 2012
会议时间：
September 9, 2012 - September 11, 2012
会议地点：
Wuhan, China
关键词：
Electronic lesson preparation;Lesson plan management;Online editing;Subject management
作者：
Shi, Yinghui;Yang, Zongkai;Yang, Harrison Hao;Liu, Sanya
期刊：
ACM International Conference Proceeding Series,2012年:213-218
通讯作者：
Shi, Y.(ikki.shi@hotmail.com)
作者机构：
[Shi, Yinghui; Yang, Zongkai; Liu, Sanya] National Engineering Research Center for E-Learning, Central China Normal University, 152 Luoyu Avenue, Wuhan, Hubei Province, 430079, China;Department of Curriculum and Instruction, School of Education, State University of New York at Oswego, 7060 State Route 104, Oswego, NY, 13126-3599, United States;[Yang, Harrison Hao] National Engineering Research Center for E-Learning, Central China Normal University, 152 Luoyu Avenue, Wuhan, Hubei Province, 430079, China<&wdkj&>Department of Curriculum and Instruction, School of Education, State University of New York at Oswego, 7060 State Route 104, Oswego, NY, 13126-3599, United States
通讯机构：
National Engineering Research Center for E-Learning, Central China Normal University, 152 Luoyu Avenue, China
会议名称：
4th International Conference on Internet Multimedia Computing and Service, ICIMCS 2012
会议时间：
September 9, 2012 - September 11, 2012
会议地点：
Wuhan, China
关键词：
Instructional effectiveness;Interactive whiteboards;Language teaching and learning;Mathematics education;Science education;Teaching strategies and methods
期刊：
2012 IEEE 2nd International Conference on Cloud Computing and Intelligent Systems (CCIS) Vols 1-3,2012年03:1501-1505 ISSN：2376-5933
通讯作者：
Hu, Rong
作者机构：
[He, Tingting; Hu, Po; Hu, Rong] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.;[Li, Fang] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
通讯机构：
[Hu, Rong] C;Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.
会议名称：
2nd IEEE International Conference on Cloud Computing and Intelligent Systems (CCIS)
会议时间：
OCT 30-NOV 01, 2012
会议地点：
Hangzhou, PEOPLES R CHINA
会议主办单位：
[Hu, Rong;He, Tingting;Hu, Po] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.^[Li, Fang] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
会议论文集名称：
International Conference on Cloud Computing and Intelligence Systems
关键词：
Tag recommendation;Tag-topic model
摘要：
With the rapid increase of the social websites, most social tagging systems are allowing users to share and to label various kinds of resources with their favorite tags. However, the uncontrolled use of tags makes the resources attached with some irrelevant even noise tags. To solve the problem, this paper proposes a tag-topic model based approach to recommend tags for resources, which elicits latent topics from resources and maps new resources to these latent topics so as to recommend the most appropriate tags for the resources. The experimental results show the effectiveness of the proposed approach.
