Information filtering (IF) systems are important for personalized information service. However, most current IF systems suffer from low quality and long training time. In this paper, a refined evolving information fil...Information filtering (IF) systems are important for personalized information service. However, most current IF systems suffer from low quality and long training time. In this paper, a refined evolving information filtering method is presented. This method describes user's information need from multi-aspects and improves filtering quality through a process like natural selection. Experimental result shows this method can shorten training time, improve filtering quality, and reduce the relevance between filtering results and training sequence.展开更多
In this paper, we proposed the idea of personalized information service for enterprises and customers through government visual information service center (GVISC). It discusses an extensible, reusable, reconstructive ...In this paper, we proposed the idea of personalized information service for enterprises and customers through government visual information service center (GVISC). It discusses an extensible, reusable, reconstructive and integrated framework of GVISC with new techniques, such as XML, agent, data mining and information portal. They include the design and analysis of the logical structure, the design of the data layer, and the description of the function application. We show an example of personalized information service for forest fire prevention in the government virtual information service center.展开更多
基金he National '863' High-Tech Programme of China (No. 863-306- ZT01- 03- 1 ) ,IBM China Research Lab and Huawei Enterprise Fundi
文摘Information filtering (IF) systems are important for personalized information service. However, most current IF systems suffer from low quality and long training time. In this paper, a refined evolving information filtering method is presented. This method describes user's information need from multi-aspects and improves filtering quality through a process like natural selection. Experimental result shows this method can shorten training time, improve filtering quality, and reduce the relevance between filtering results and training sequence.
基金supported by the project of Humanities and Social Science Programming Foundation of China’s Ministry of Education,"Information Resource Integrated Based E-Government Information Service Pattern Research" (No. 06JA630057)
文摘In this paper, we proposed the idea of personalized information service for enterprises and customers through government visual information service center (GVISC). It discusses an extensible, reusable, reconstructive and integrated framework of GVISC with new techniques, such as XML, agent, data mining and information portal. They include the design and analysis of the logical structure, the design of the data layer, and the description of the function application. We show an example of personalized information service for forest fire prevention in the government virtual information service center.
