[1]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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Research on a personalized knowledge service system for community  E-learning using an adaptive filtering algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 3 Number of periods: 2008 1 Page number: 91-94 Column: 学术论文—智能系统 Public date: 2008-02-25
Title:
Research on a personalized knowledge service system for community  E-learning using an adaptive filtering algorithm
Author(s):
LUO Qi1; 2;  TAN Hong-hua1
1.School of Electrical Information, Wuhan Institute of Technology, Wuhan 430073 ， China；
 2.Department of Information Engineering, Wuhan University of Science an d Technology Zhongnan Branch, Wuhan 430223, China
Keywords:
adaptive filtering;  personalized knowledge service;  similarity;  lifelong educati on
CLC:
TP302
DOI:
-
Abstract:
To effectively provide personalized Elearning 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 Elearning.
References:
［1］ LUO Qi，XUE Qiang. Research on application of association rule mining a l gorithm in learning community ［C］// Proceedings of CAAI11 .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 webbased Chinese information fil tering system base on VSM ［J］. Computer Engineering, 2003, 29（3）：2527.
［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 TREC9 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)：17.
［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）：1132.
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