A system architecture of intelligent-guided browsing on the Web

The purpose of the paper is to present a system architecture of intelligent guided browsing on the Web, and presents five kinds of browsing agents: recommendation agent, new content agent, search agent, customized agent, and personal status agent.

Abstract

Compared with traditional business operations, WWW based commerce has many advantages such as timeliness, worldwide communication, hyperlinks, and multimedia. However, lack of customized interactive abilities of traditional sales representatives is its major weakness. To get competitive advantage over the countless Web sites, it is critical to have such customized interactive abilities. The purpose of the paper is to present a system architecture of intelligent guided browsing on the Web. In the architecture, we present five kinds of browsing agents: recommendation agent, new content agent, search agent, customized agent, and personal status agent. In order to support these agents, there are: a user analyzer to maintain the user profile by analyzing log file and CGI parameters, and a site monitor to maintain the site database by monitoring all changes of the site. Finally, we present a prototype to demonstrate the proposed system architecture.