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    • 3. 发明授权
    • System and methods for finding hidden topics of documents and preference ranking documents
    • 查找文档隐藏主题和偏好排序文件的系统和方法
    • US08738547B2
    • 2014-05-27
    • US13083391
    • 2011-04-08
    • Xi ChenYanjun QiBing Bai
    • Xi ChenYanjun QiBing Bai
    • G06N99/00
    • G06N99/005G06F17/30705
    • Systems and methods are disclosed to perform preference learning on a set of documents includes receiving raw input features from the set of documents stored on a data storage device; generating polynomial combinations from the raw input features; generating one or more parameters; applying the parameters to one or more classifiers to generate outputs; determining a loss function and parameter gradients and updating parameters determining one or more sparse regularizing terms and updating the parameters; and expressing that one document is preferred over another in a search query and retrieving one or more documents responsive to the search query.
    • 公开了系统和方法来对一组文件执行偏好学习,包括从存储在数据存储设备上的文档集接收原始输入特征; 从原始输入特征生成多项式组合; 产生一个或多个参数; 将参数应用于一个或多个分类器以产生输出; 确定损失函数和参数梯度以及更新确定一个或多个稀疏规则化条件并更新参数的参数; 并且在搜索查询中表达一个文档优于另一个文档,并且响应于搜索查询来检索一个或多个文档。
    • 5. 发明授权
    • System and methods for finding hidden topics of documents and preference ranking documents
    • 查找文档隐藏主题和偏好排序文件的系统和方法
    • US08612369B2
    • 2013-12-17
    • US13083402
    • 2011-04-08
    • Xi ChenYanjun QiBing Bai
    • Xi ChenYanjun QiBing Bai
    • G06N5/00
    • G06N99/005G06F17/30705
    • Systems and methods are disclosed to perform preference learning on a set of documents includes receiving raw input features from the set of documents stored on a data storage device; generating polynomial combinations from the raw input features; generating one or more parameters; applying the parameters to one or more classifiers to generate outputs; determining a loss function and parameter gradients and updating parameters determining one or more sparse regularizing terms and updating the parameters; and expressing that one document is preferred over another in a search query and retrieving one or more documents responsive to the search query.
    • 公开了系统和方法来对一组文件执行偏好学习,包括从存储在数据存储设备上的文档集接收原始输入特征; 从原始输入特征生成多项式组合; 产生一个或多个参数; 将参数应用于一个或多个分类器以产生输出; 确定损失函数和参数梯度以及更新确定一个或多个稀疏规则化条件并更新参数的参数; 并且在搜索查询中表达一个文档优于另一个文档,并且响应于搜索查询来检索一个或多个文档。