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Future View: Web Navigation Based on Learning User?s Browsing Patterns
Halifax, Canada October 13-October 17
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2003.12412612003 IEEE/WIC International Conferenc ...
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Norikatsu Nagino, Tokyo Institute of Technology
Seiji Yamada, National Institute of Informatics
In this paper, 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 is 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.
Citation:
Norikatsu Nagino, Seiji Yamada, "Future View: Web Navigation Based on Learning User?s Browsing Patterns," wi, pp.541, 2003 IEEE/WIC International Conference on Web Intelligence (WI'03), 2003
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