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基于用户偏好的垂直网站自适应结构研究 被引量：4

A Framework of Adaptive Vertical Website Based on User Preferences
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摘要 Web用户数据挖掘技术的应用,为Web信息结构的自适应调整奠定了基础。文章针对垂直网站系统,提出了一种根据Web用户偏好,自适应地调整网站信息结构的结构模式。该研究对优化网站信息结构、提供个性化信息服务具有重要的意义。 The application of Web usage mining has laid the foundation for the automatic adjustment of Web information architecture. Aimed the vertical Website, the paper proposes a framework, which can adjust the organization structure of Website information dynamically and adaptively, according to the Web user＇s preferences. This research is important for optimizing of Website information architecture and providing individual information service.
作者 雷育生 甘仞初 杜顶
机构地区 北京理工大学管理与经济学院
出处 《计算机工程》 EI CAS CSCD 北大核心 2005年第24期18-20,35,共4页 Computer Engineering
关键词 垂直网站 自适应网站 信息结构模式 数据挖掘 Vertical Website Adaptive Website Information structural pattern Data mining
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献8

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  • 8王继成,潘金贵,张福炎.Web文本挖掘技术研究[J].计算机研究与发展,2000,37(5):513-520. 被引量：275

二级参考文献45

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共引文献666

同被引文献35

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二级引证文献25

计算机工程
2005年 第24期

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