User Interests Clustering for E-Government Information Resources Integration

To improve methods used in integrating e-government information resources of Hubei province, an empirical research was carried out to explore a new way of information integration based on user´s interest. By applying technologies of auto-clustering and auto-classification, this research aims to guide in a more reasonable way the classification, organization, storage, sharing and integration of government information resources, thus, improve the utilization of government affair resources and enhance the effectiveness of information management. The result shows that the new method can effectively resolve the contradiction between scattered e-government information and users´ comprehensive demand for information so that government information service promises to be more individual-need-oriented.