Associated Navigation on the Web According to Users Activities
Although with the growth of lnternet, World Wide Webincreasingly helps people to make good use of richinformation no matter from local or remote site, theamount of Web pages is so enormous that users aredestined to drown in the huge data of the Web withoutany navigation. To provide a new navigation approach,this paper introduces a modified Markov Chain Modelwhich utilizes all group members traces in the Web torecommend some potential useful Web sites and navigatespeople when they browse Web pages, while usersactivities react to the model. Before that, an algorithmbased on a semi-formal description of process isnecessarily given for collecting desired data to gain topgrade results. We also illustrate the method by analyzingthe proxy servers access log in our prototype system.
JieYang Guoqing Wu Lisong Zhu
State Key Lab.of Computer Software Engineering,Wuhan University,Wuhan 430072,China
国际会议
厦门
英文
283-287
2004-05-26（万方平台首次上网日期，不代表论文的发表时间）