BP Network Based Users’Interest Model in Mining WWW Cache

作     者：ZHANG Wei-feng XU Bao-wen ZHANG Xiao-fang CUI Zi-feng ZHOU Xiao-yu 

作者机构：Department of Computer Science and Technology Nanjing University o[ Posts and Telecommunications Nanjing 210003 JiangsuChina Jiangsu Institute of Software Quality Nanjing 210096 JiangsuChina Department of Cornputer Science and Engineering Southeast University Nanjing 210096 Jiangsu China 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2006年第11卷第1期

页      面：243-247页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported bythe Outstanding Young Young Scientist’s Fund ofthe National Natural Science Foundation of China (60303024)  the National Natu-ral Science Foundation of China (90412003)   National Grand Fundamental Re-search 973 Programof China (2002CB312000)   Doctor Foundation of Ministry ofEducation(20020286004)   Opening Foundation of Jiangsu Key Laboratory of Com-puter Information Processing Technology in Soochow University  Natural ScienceResearch Planfor Jiang Su High School(04kjb520096)  Doctor Foundatoin of Nan-jing University of Posts and Telecommunications(2003-02) 

主　　题：WWW Internet Interest model neural network data mining 

摘      要：By analyzing the WWW Cache model, we bring forward a user-interest description method based on the fuzzy theory and user-interest inferential relations based on BP（baek propagation） neural network. By this method, the users＇ interest in the WWW cache can be described and the neural network of users＇ interest can be constructed by positive spread of interest and the negative spread of errors. This neural network can infer the users＇ interest. This model is not the simple extension of the simple interest model, but the round improvement of the model and its related algorithm.