科研之友
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摘要
With the growth of the Internet, World Wide Web increasingly helps people to make good use of rich information from local or remote site. The amount of Web pages is so enormous that users are destined to drown in the huge data of the Web without any navigation. To provide a new navigation approach, a modified Markov chain model is introduced, which utilizes all group members' traces in the Web to recommend some potential useful Web sites and navigates people when they browse Web pages, while users' activities react to the model. Before that, an algorithm based on a semi-formal description of process is necessarily given for collecting desired data to gain top grade results. The method is also illustrated by analyzing the proxy server's access log in the prototype system.
- 出版日期2005-5
- 单位华南理工大学
