A STUDY OF THE WEB INTELLIGENT SEARCHING DESKTOP BASED ON USERS' INTEREST
Pang Shu · Journal of Chengdu University of Technology · 2003
The paper introduces a method which uses “trade concept semantic network model” to collect, filtrate and sort the Web pages. By correlation analysis and interest rule mining, an intelligent searching desktop model is designed. It can describe information features of the Web page chain, and represent users' browsing behavior as well. The personallization navigation and the function of intelligent searching can be realized in the Internet quickly for the users who wish to browse available information.