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人工免疫聚类在Web自适应导航中的研究
Research of adaptive Web navigation with cluster based on artificial immune
【摘要】 本文在分析了面向移动用户自适应Web导航方法—MINPath不足。然后,提出引入基于人工免疫路径聚类技术,旨在解决MINPath算法巨量计算以及不能自动更新的不足。最后通过分析,得出引入基于人工免疫路径聚类后,可以对用户当前请求页面增加的"捷径"实时更新,而且计算量大大降低。
【Abstract】 Firstly,we analysis the shortcoming of the MINPath algorithm that is applied in adaptive Web navigation object mobile users In this paper. Then, we propose to apply the path cluster based on artificial immune in adaptive Web navigation, the aims is to solve Great quantity computation of MINPath algorithm , at the same time, to let the "shortcuts that presented in the users current request page be adaptive in real time. Finally, through analysis, we know that when we apply the path cluster based on artificial immune in adaptive Web navigation, the shortcut that presented in the users current request page could auto-adaptive in real time, and the computation is greatly reduced.
【Key words】 artificial immune; cluster; mobile users; Web adaptive navigation; MINPath algorithm; shortcut;
- 【文献出处】 微计算机信息 ,Microcomputer Information , 编辑部邮箱 ,2008年15期
- 【分类号】TP393.09
- 【下载频次】73