论文信息 - Intelligent Web Information Service Model for Minimizing Information Gap Among People in E-Government

Intelligent Web Information Service Model for Minimizing Information Gap Among People in E-Government

We suggested a web information service model for minimizing information gap among people. A difference of information access environment, ability to understand and information pursuit desire, etc among people makes people to use different kinds of information on their decision-making. We designed an intelligent web information service model, consisting of a web usage analysis and a personalized web service module.

[1] Gary Marchionini,et al. Digital government information services: the Bureau of Labor statistics case , 2003, INTR.

[2] Geoffrey Sampson. The myth of diminishing firms , 2003, CACM.

[3] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .

[4] Teuvo Kohonen,et al. Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.

[5] Sang-Chan Park,et al. A hybrid approach of neural network and memory-based learning to data mining , 2000, IEEE Trans. Neural Networks Learn. Syst..

[6] MarchioniniGary,et al. Digital government information services , 2003 .

[7] Charles C. Hinnant,et al. Examining pre-adoption interest in online innovations: an exploratory study of e-service personalization in the public sector , 2003, IEEE Trans. Engineering Management.