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

N. Nagino, Seiji Yamada

Year
2004
Citations
5

Abstract

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.

Keywords

Computer scienceWeb navigationWeb pageWorld Wide WebCrawlingClassifier (UML)Web modelingWeb designInformation retrievalHuman–computer interaction

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