Abstract
The timely provision of content to the clients strictly according to their interests is one of the key factors for the success and wider acceptance of World Wide Web technologies. Intelligent Assistants, such as WebNaut, belong to a class of innovative technologies proposed for use by the Web. The main objective of these technologies is the retrieval of information that interest the client. WebNaut is able to integrate with a web browser and ‘build’ user profiles that form the base for Web content selection from keyword search engines or meta-search engines. This ability to recognize users’ information interests and to constantly adapt to their changes makes WebNaut and all intelligent agents a potential source of information for supporting prefetching algorithms that can be used by Web Cache applications. In this paper, we examine to what extent intelligent assistants, such as WebNaut, are able to contribute to the reduction of the user – perceived latency. An ideal algorithm is proposed for the WebNaut case and basic conclusions are extracted that are favorable for the utilization of this type of the intelligent agents in prefetching.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
AltaVista Company, AltaVista – The search company (2003), http://www.altavista.com/about/
Sergey, B., Lawrence, P.: The anatomy of a large-scale hypertextual Web search engine. In: Proceedings of the Seventh International World Wide Web Conference, Brisbane, Australia (April 1998)
Davison Brian, D.: Topical locality in the Web. In: Proceedings of the 23rd Annual ACM International Conference on Research and Development in Information Retrieval (SIGIR 2000), Athens, Greece (July 2000)
Google Inc.: Google home page (2003), http://www.google.com/about.html/
Alede, H., Daniel, D.: SavvySearch: A metasearch engine that learns which search engines to query. AI Magazine 18 (2) (1997)
Kroeger Thomas, M., Long Darrell, D.E., Mogul Jeffrey, C.: Exploring the bounds of Web latency reduction from caching and prefetching. In: Proceedings of the USENIX Symposium on Internet Technologies and Systems (USIT’S 19) (December 1997)
Padmanabhan Venkata, N., Mogul Jeffrey, C.: Using predictive prefetching to improve World Wide Web latency. Computer Communication Review 26(3), 22–36 (1996)
Vander Wiel Steven, P., Lilja David, J.: When caches aren’t enough: Data prefetching techniques. Computer 30(7) (July 1997)
Zacharis, N.Z., Panayiotopoulos, T.: Web Search Using a Genetic Algorithm. Internet Computing. Internet Computing 5(2), 18–26 (2001)
Zacharis, N.Z., Panayiotopoulos, T.: SpiderServer: the MetaSearch engine of WebNaut. In: 2nd Hellenic Conference on Artificial Intelligence, SETN-2002, Thessaloniki, Greece, April 11- 12, pp. 475–486 (February 2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kastaniotis, G., Zacharis, N., Panayiotopoulos, T., Douligeris, C. (2004). Intelligent Web Prefetching Based upon User Profiles – The WebNaut Case. In: Vouros, G.A., Panayiotopoulos, T. (eds) Methods and Applications of Artificial Intelligence. SETN 2004. Lecture Notes in Computer Science(), vol 3025. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24674-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-540-24674-9_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21937-8
Online ISBN: 978-3-540-24674-9
eBook Packages: Springer Book Archive