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

被引：0

作者：

Nagino, N ^{[1
]}

Yamada, S ^{[1
]}

机构：

[1] Tokyo Inst Technol, IGSSE, CISS, Midori Ku, Yokohama, Kanagawa 2268502, Japan

来源：

IEEE/WIC INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE, PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 classier 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.

引用

页码：541 / 544

页数：4

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