Abstract
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. It is a straightforward idea to incorporate the idea of user modeling with machine learning methods into Web search services. Kodama, which is being developed and in use at Kyushu University, is a multi-agent-based Information Retrieval (IR) system that lets users retrieve more relevant distributed information from the Web. We report methods to agentify the Web, and to exploit User Preferences (UP) by the User Interface Agent (UIA), Interpretation Policy (IP) by the Web Page Agent (WPA) and the known Server Agents (SA) table by the SA adaptively.
| Original language | English |
|---|---|
| Pages | 992-993 |
| Number of pages | 2 |
| State | Published - 2002 |
| Externally published | Yes |
| Event | Proceedings of the 1st International Joint Conference on: Autonomous Agents adn Multiagent Systems - Bologna, Italy Duration: 15 Jul 2002 → 19 Jul 2002 |
Conference
| Conference | Proceedings of the 1st International Joint Conference on: Autonomous Agents adn Multiagent Systems |
|---|---|
| Country/Territory | Italy |
| City | Bologna |
| Period | 15/07/02 → 19/07/02 |
Keywords
- Multi-agent
- User modeling
- Web searching
ASJC Scopus subject areas
- General Engineering