Future View: Web Navigation Based on Learning User's Browsing Patterns

  • Authors:

  • Norikatsu Nagino;Seiji Yamada

  • Affiliations:

  • -;-

  • Venue:
  • WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
  • Year:
  • 2003

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Abstract

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 resultsof 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.