Abstract
The primary application domain of Kodama is the WWW and its purpose in this application is to assist users to find desired information. Three different categories of Kodama’s agents are introduced here, Web Page Agents, Server Agents, and User Interface Agents. Kodama agents learn and adapt to the User’s Preferences (UP), which may change over time. At the same time, they explore these preferences to get any relevancy with the future queries. These communities of Kodama agents autonomously achieve and update their Interpretation Policies (IP) & UP and cooperate with other agents to retrieve distributed relevant information on the Web. This paper studies ways to model user’s interests and shown how these models can be deployed for more effective information retrieval. In terms of adaptation speed, the proposed methods make Kodama system acts as a pinpoint information retrieval system, converges to the user’s interests and adapts to the user’s sudden change of interests.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ballacker K., S. Lawrence, and L. Giles, “ CiteSeeer: An Autonomous System for processing and organizing scientific Literature on the Web”, Working notes of Learning from Text and the Web, Conference of Automated Learning and Discovery (CONALD-98), Carnegie, Mellon University, 1998.
Budzik J. and Hammond K. “Watson: Anticipating and Contextualizing Information Needs”, in Proceedings of Sixty-second annual Meeting of the American Society for Information Science, 1999.
Chen Liren and Katia Sycara, WebMate: A Personal Agent for Browsing and Searching”, Proceedings of the Second International Conference of Autonomous Agents, Minneapolis/ST, MNUSA, May 9–13, 1998, pp. 132–138.
Edmund S. Yu, Ping C. Koo, and Elizabth D. Liddy: Evolving Intelligent Text-based Agents, Proceedings of the 4th International Conference of Autonomous Agents, June 3–7-2000, Barcelona, Spain, pp. 388–395.
Helmy T., B. Hodjat and M. Amamiya, “ Multi-Agent Based Approach for Information Retrieval in the WWW”, Proceedings of the First Asia-Pacific International Conference on Intelligent Agent Technology (IAT’99), Hong Kong, 15–17/12, 1999, pp. 306–316.
Helmy T., T. Mine, G. Zhong, M. Amamiya, “A Novel Multi-Agent KODAMA Coordination for On-line Searching and Browsing the Web”, Proceedings of The Fifth International Conference and Exhibition on The Practical Application of Intelligent Agents and Multi-Agents, 10-12/4, 2000, Manchester, UK, pp. 335–338.
Helmy T., T. Mine, G. Zhong and M. Amamiya, “ Open Distributed Autonomous Multi-Agent Coordination on the Web”, Proceedings of The Seventh International Conference on Parallel and Distributed Systems Workshops, pp. 461–466: July 4–7, 2000, Japan.
Helmy T., T. Mine and M. Amamiya, “Adaptive exploiting User Profile and Interpretation Policy for Searching and Browsing the Web on KODAMA System”, Proceedings of the 2nd International Workshop on Natural Language and Information Systems NLIS, London, Greenwich, United Kingdom, September 4–8, 2000, pp. 120–124.
Hodjat B. and M. Amamiya, “Applying the Adaptive Agent Oriented Software Architecture to the Parsing of Context Sensitive Grammars”, IEICE TRANS. INF. & SYST., VOL. E83-D, No. 5 May 2000.
Joachims Thorsten, Dayne Freitage, and Tom M. Mitchell, Web Watcher: A tour guide for the World Wide Web, in Proceedings of International Joint Conference on Artificial Intelligence (UCAI97), pp. 770–775, 1997.
Kim J., Oard D., and Romanik K. “Using Implicit Feedback for User Modeling in Internet and Intranet Searching’” Technical Report [2000], Collage of Library and Information service, University of Maryland at Collage Park.
Kleinberg J., “Authoritative sources in a hyperlinked environment”, ACM Journal, 46(s), PP. 604–632 1999.
Menczer F., A.E. Monge: “Scalable Web Search by Adaptive Online Agents: An InfoSpiders Case Study”. Intelligent Information Agents, Springer, 1999.
Mladenic Dunja, “Text-learning and Related Intelligent Agents”, IEEE Expert special issue on Application of Intelligent Information Retrieval, July–August 1999. pp. 44–45.
Pann K., A. And Sycara, K. “ A Personal Text Filtering Agent”, Proceedings of the AAAI Stanford Spring Symposium on Machine Learning and Information Access, Stanford, CA, March 25–27, 1996.
William G., S. Lawrence and C. Giles, “Efficient Identification of Web Communities”, ACM Proceedings of KDD 2000, Boston, MA, USA.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Helmy, T., Amamiya, S., Amamiya, M. (2001). Pinpoint Web Searching and User Modeling on the Collaborative Kodama Agents. In: Bauknecht, K., Madria, S.K., Pernul, G. (eds) Electronic Commerce and Web Technologies. EC-Web 2001. Lecture Notes in Computer Science, vol 2115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44700-8_29
Download citation
DOI: https://doi.org/10.1007/3-540-44700-8_29
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42517-5
Online ISBN: 978-3-540-44700-9
eBook Packages: Springer Book Archive