| 蚁群算法在Web站点导航中的应用研究 |
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| 引用本文： | 李小明,向春枝.蚁群算法在Web站点导航中的应用研究[J].计算机测量与控制,2011,19(9). |
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| 作者姓名： | 李小明 向春枝 |
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| 作者单位： | 河南广播电视大学,河南郑州,450008 |
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| 摘 要： | Web站点导航是Web数据挖掘的一个重要研究领域,是准确理解用户访问网站行为的关键;传统Web站点导航技术很难全面反映出用户对页面浏览的兴趣程度,找到用户感兴趣页面路径准确度比较低;为提高找到用户感兴趣页面路径准确度,提出一种基于蚁群算法的Web站点导航技术;将网络用户看作人工的蚂蚁,用户的浏览兴趣作蚂蚁的信息素,通过利用Web日志数据采用正负反馈机制和路径概率选择机制建立一个Web站点导航模型,挖掘用户感兴趣页面的导航路径;仿真实验结果表明,基于蚁群算法的Web站点导航技术提高了找到用户感兴趣页面路径准确度,更加能够准确反映出用户的浏览兴趣,用于Web站点导航是可行的。
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| 关 键 词： | Web挖掘 蚁群算法 导航模型 |
Research Application of Web Site Navigation Based on Ant Colony Algorithm |
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| Li Xiaomingo,Xiang Chunzhi.Research Application of Web Site Navigation Based on Ant Colony Algorithm[J].Computer Measurement & Control,2011,19(9). |
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| Authors: | Li Xiaomingo Xiang Chunzhi |
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| Affiliation: | Li Xiaomingo1,Xiang Chunzhi2(Henan Radio & Television University,Zhengzhou 450008,China) |
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| Abstract: | Web site navigation is an important research area in web data mining and understands the user's access to the Web site behavior key.Traditional Web site navigation technology is difficult to fully reflect the interest level of users browse pages,the interested page path accuracy is very low.In order to improve the level of interest of users interested page path,this paper puts forward a web site navigation technology based on ant colony algorithm.Network users is taken into as ants,while user's browsing int... |
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| Keywords: | Web mining ant colony optimization navigation model |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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