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

N. Nagino, S. Yamada
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引用次数: 6

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.
未来展望:基于学习用户浏览模式的Web导航
我们提出了一个未来的视图系统,以帮助用户的日常网络浏览。未来视图将根据用户的浏览策略预取网页,并将其呈现给用户,以帮助用户浏览网页。为了学习用户的浏览模式,未来视图使用两种类型的学习分类器系统:基于内容的分类器系统用于内容更改模式,基于操作的分类器系统用于用户的操作模式。将学习的结果应用于Web机器人的爬行,并将收集到的网页通过Web浏览器呈现给用户。我们通过实验证明了使用未来视图进行导航的有效性。
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