Computer-implemented systems and methods for efficiently selecting data in multi-dimensional hierarchical space with multiple constraints
    1.
    发明授权
    Computer-implemented systems and methods for efficiently selecting data in multi-dimensional hierarchical space with multiple constraints 有权
    计算机实现的系统和方法,用于在具有多个约束的多维分层空间中有效地选择数据

    公开(公告)号:US08549027B2

    公开(公告)日:2013-10-01

    申请号:US12487134

    申请日:2009-06-18

    IPC分类号: G06F7/00

    CPC分类号: G06F3/0481

    摘要: Computer-implemented systems and methods are provided for reducing a number of options presented to a user where the options have characteristics that are arranged in a multi-dimensional hierarchical space. A system and method can be configured to identify common dimensions using dimension nodes in dimensional points and identify compatible nodes for each dimension in the multi-dimensional hierarchical space by determining whether an association exists. Compatible pairs of surviving points are generated after applying each of the compatible nodes from the common dimensions. Greatest lower bounds (GLBs) are computed for each of the generated compatible points, and a set of options is generated comprising points from the generated compatible points and the computed GLBs.

    摘要翻译: 提供了计算机实现的系统和方法,用于减少呈现给用户的多个选项,其中选项具有排列在多维分层空间中的特征。 可以将系统和方法配置为使用维度点中的维度节点来识别公共维度,并通过确定关联是否存在来识别多维分层空间中的每个维度的兼容节点。 在从普通维度应用每个兼容节点之后生成兼容的幸存点对。 为每个生成的兼容点计算最大下限(GLB),并且生成包括来自所生成的兼容点和计算出的GLB的点的一组选项。

    Computer-Implemented Systems And Methods For Efficiently Selecting Data In Multi-Dimensional Hierarchical Space With Multiple Constraints
    2.
    发明申请
    Computer-Implemented Systems And Methods For Efficiently Selecting Data In Multi-Dimensional Hierarchical Space With Multiple Constraints 有权
    计算机实现的系统和方法用于在具有多个约束的多维分层空间中有效地选择数据

    公开(公告)号:US20100325586A1

    公开(公告)日:2010-12-23

    申请号:US12487134

    申请日:2009-06-18

    IPC分类号: G06F3/048

    CPC分类号: G06F3/0481

    摘要: Computer-implemented systems and methods are provided for reducing a number of options presented to a user where the options have characteristics that are arranged in a multi-dimensional hierarchical space. A system and method can be configured to identify common dimensions using dimension nodes in dimensional points and identify compatible nodes for each dimension in the multi-dimensional hierarchical space by determining whether an association exists. Compatible pairs of surviving points are generated after applying each of the compatible nodes from the common dimensions. Greatest lower bounds (GLBs) are computed for each of the generated compatible points, and a set of options is generated comprising points from the generated compatible points and the computed GLBs.

    摘要翻译: 提供了计算机实现的系统和方法,用于减少呈现给用户的多个选项,其中选项具有排列在多维层级空间中的特征。 可以将系统和方法配置为使用维度点中的维度节点来识别公共维度,并通过确定关联是否存在来识别多维分层空间中的每个维度的兼容节点。 在从普通维度应用每个兼容节点之后生成兼容的幸存点对。 为每个生成的兼容点计算最大下限(GLB),并且生成包括来自所生成的兼容点和计算出的GLB的点的一组选项。