SDI信息服务部门用户偏好挖掘方法研究

Study on User Preference Mining Methods in SDI Information Services

  • 摘要: 空间数据基础设施(SDI)要面向多领域、多层次用户的个性化需求提供自适应信息服务,基于网络挖掘技术分析了SDI中职能部门的用户背景、服务访问行为和制图规则的关系,提出了自适应部门空间模型和基于地图服务访问日志的用户偏好挖掘方法,着重讨论了尺度偏好、语义偏好和要素偏好的挖掘过程。通过对真实服务日志的分析,验证了本文方法的可行性和有效性。

     

    Abstract: Based on Web mining technologies, we examine the SDI user intensions including the background of domain users, access behaviors and the relationships of cartographic rules. A Web mining method is presented to construct the self\|adaptive domain space model and to analyze the user intension behaviors based on the service log documents focusing on the user preferences of spatial scale, feature semantic and feature object. By the analysis of the real service log information verifies the feasibility and effectiveness of this Web mining method.

     

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