An Agent-Oriented Personalized Web Searching

Web retrieval is now one of the most important issues in computer science, and we believe that applying multi-agent systems to this area is a promising approach. We introduce Kodama system, which is being developed and in use at Kyushu University, as a multi-agent-based approach to build a distributed Information Retrieval (IR) system that lets users retrieve relevant distributed information from the Web. We reported methods to agentify the Web, and to cluster the agentified domain into communities. In order to investigate the performance of our system, we carried out several experiments in multiple Server Agent domains and developed a smart query routing mechanism for routing the user's query. The results ensure that the idea of Web page agentification, clustering and routing techniques promise to achieve more relevant information