[1]罗 奇,谈宏华.自适应过滤算法在社区Elearning的个性化服务系统中的研究[J].智能系统学报,2008,3(1):91-94.
LUO Qi,TAN Hong-hua.Research on a personalized knowledge service system for community E-learning using an adaptive filtering algorithm[J].CAAI Transactions on Intelligent Systems,2008,3(1):91-94.
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LUO Qi,TAN Hong-hua.Research on a personalized knowledge service system for community E-learning using an adaptive filtering algorithm[J].CAAI Transactions on Intelligent Systems,2008,3(1):91-94.
自适应过滤算法在社区Elearning的个性化服务系统中的研究
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
3
期数:
2008年第1期
页码:
91-94
栏目:
学术论文—智能系统
出版日期:
2008-02-25
- Title:
- Research on a personalized knowledge service system for community E-learning using an adaptive filtering algorithm
- 文章编号:
- 1673-4785(2007)05-0091-04
- 分类号:
- TP302
- 文献标志码:
- A
- 摘要:
- 针对学习型社区中的教育需求，在传统算法上加以改进，提出了一种基于向量空间模型的教育资源自适应过滤算法.通过训练算法，提取特征向量和伪反馈建立初始模板，设置初始阈值.然后通过过滤算法根据用户的反馈信息自适应地调整模板和阈值.该算法在执行过程中，不需要大量的初始文本，同时在过滤的过程中可不断地进行自主学习来提高过滤精度.该算法已在个性化知识服务系统中进行验证，结果表明是有效的.
- Abstract:
- To effectively provide personalized Elearning in a community, an adaptive filt ering algorithm for identifying appropriate teaching resources was developed. It is based on a vector space model, an improvement on traditional algorithms used for this purpose. Firstly, feature selection and pseudo feedback were used to e st ablish the initial templates and thresholds through a training algorithm. Then t he user’s feedback was utilized to modify the templates and thresholds adaptivel y for the filtering algorithm. The algorithm did not need massive quantities of initial texts to begin the process of filtering. Furthermore, filtering precisio n improved during the process through self learning. The algorithm proved effect ive as a personalized knowledge service system for community Elearning.
- 参考文献/References:
-
［1］ LUO Qi，XUE Qiang. Research on application of association rule mining a l gorithm in learning community ［C］// Proceedings of CAAI11 .Wuhan, 200 5.
［2］WU Yanwen,WU Zhonghong. Knowledge adaptive presentation strategy in E lea rning ［C］// Proceedings of Second International Conference on Knowledge Econ omy and Development of Science and Technology. Beijing, 2004.
［3］HU Tian, XIA Yingju ,HUANG Xuanjing.A webbased Chinese information fil tering system base on VSM ［J］. Computer Engineering, 2003, 29（3）：2527.
［4］LI Dun,CAO Yuanda. A new weighted text filtering method ［C］// Proce edin gs of International Conference on Natural Language Processing and Knowledge Engi neering.Wuhan, 2005.
［5］ROBERTSON S, HULL D A. The TREC9 filtering track final report［C］// Proc eedings of the 9th Text Retrieval Conference. Gaithersburg, Maryland, USA, 20 01.
［6］ HUANG X J, WU L D, ISHIZAKI H,et al. Language independent text categoriza tion ［J］. Journal of Chinese Information Processing, 2000,14(2)：17.
［7］LAWRENCE R D，ALMASI G S. Personalization of supermarket product recomm en dations ［J］. Special Issue of the International Journal of Data Mining and Kno wle dge Discovery， 2001, 15（5）：1132.
备注/Memo
收稿日期：2007-01-25.
基金项目：
国家自然科学基金资助项目（60533080）；
“973”基金资助项目（2002CB312100）；
“863”基金资助项目(2006AA01Z3 03).
作者简介：
罗 奇，男，1982生，讲师，主要研究方向为情感计算、智能计算|体育工程等,发表论文多篇.
谈宏华，男，1963生，博士，教授，武汉工程大学电气信息学院院长，主要研究方向为机电一体化、智能控制等，曾主持项目40余项，发表文章30余篇.
通讯作者：罗 奇.E-mail:ccnu_luo2008@yahoo.com.cn.
更新日期/Last Update:
2009-05-10