Adaptive exploiting user profile and interpretation policy for searching and browsing the Web on KODAMA system

The main thrust of the KODAMA research project is an investigation into novel ways of agentifying the Web based on the pre-existing hyper-link structure, and how this community of agents can automatically achieve and update its interpretation policies and cooperate with other agents to retrieve online distributed relevant information on the Web. The paper focuses on the use of the user interface agents in the KODAMA system for personalized information filtering and adapting, and discusses the method to update a user profile and interpretation policies adaptively for the user. This is an ideal and challenging environment for interface agents. The proposed idea is to employ an adaptive autonomous user interface agent that works for satisfying a user´s information needs cooperatively with other agents in the KODAMA system, Web page agents and server agents