A system architecture of intelligent-guided browsing on the Web

Compared with traditional business operations, www-based commerce has many, advantages, such as timeliness, worldwide communication, hyper-links, and multimedia. However lack of customized interactive abilities of traditional sales representatives is its major weakness. To get competitive advantages over the countless web sires, it is critical to have such customized interactive abilities. The purpose of this 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 user analyzer to maintain the user profile by analyzing log file and CGI parameters, and 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.