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Future view: Web navigation based on learning user's browsing patterns

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2 Author(s)
N. Nagino ; CISS, Tokyo Inst. of Technol., Yokohama, Japan ; S. Yamada

We propose a future view system that assists user's usual Web browsing. The future view will prefetch Web pages based on user's browsing strategies and present them to a user in order to assist Web browsing. To learn user's browsing patterns, the future view uses two types of learning classifier systems: a content-based classifier system for contents change patterns and an action-based classifier system for user's action patterns. The results of learning are applied to crawling by Web robot, and gathered Web pages are presented to a user through a Web browser. We experimentally show effectiveness of navigation using the future view.

Published in:

Web Intelligence, 2003. WI 2003. Proceedings. IEEE/WIC International Conference on

Date of Conference:

13-17 Oct. 2003