Personalized Customization on Science and Technology Intelligence

Fei Fei; Quan Yin Zhu; Cheng Jie Xu; Lei Zhou; Xiang Li

doi:10.4028/www.scientific.net/AMM.631-632.1149

Paper Titles

Information Technology Application in Small and Medium-Sized Professional Library Business Management - With the National Institute of Metrology Library as an Example
p.1131

Knowledge Sharing Research on Web 2.0
p.1136

Networking Agglomeration Effect of E-Commerce Platform in Industry Clusters
p.1140

On the Construction of the Service Platform of the Mobile Library - Taking SUAA as a Research Model
p.1145

Personalized Customization on Science and Technology Intelligence
p.1149

Quantitative Analysis of the Process Models in IT Service Provision Engineering
p.1153

Research on Planning and Design of Unified Payment Platform in Colleges and Universities
p.1160

Research on the Impact of the Development of E-Commerce in China on the Supply and Demand for Commercial Real Estate on the Basis of Grey System Theory
p.1167

Research on the Mobile Net Business Knowledge Sharing Strategy of Fraud Evade
p.1171

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 631-632Personalized Customization on Science and...

Personalized Customization on Science and Technology Intelligence

Abstract:

In order to suite customized demand of enterprises on scientific and technological information, a Web-based Front Platform Management System of Scientific and Technological Information is designed and realized. Customizable front platform page adopts HTML5+CSS3+jQuery to realize dynamic customization of display mode and contents, meeting the diversified demand of different users. Upon design and improvement, the system interface basically realizes customized operation on scientific and technological information, providing a front platform interface of good user-experience for the customized platform of scientific and technological information for enterprises.

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Periodical:

Applied Mechanics and Materials (Volumes 631-632)

Pages:

1149-1152

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.631-632.1149

Citation:

Cite this paper

Online since:

September 2014

Authors:

Fei Fei, Quan Yin Zhu, Cheng Jie Xu, Lei Zhou, Xiang Li*

Keywords:

Customized Operation, Js Plug-In, Technology Intelligence, Web

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* - Corresponding Author

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