Model development and evaluation
    1.
    发明授权
    Model development and evaluation 有权
    模式开发与评估

    公开(公告)号:US08886587B1

    公开(公告)日:2014-11-11

    申请号:US13162909

    申请日:2011-06-17

    IPC分类号: G06N5/04

    CPC分类号: G06N5/025

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing decision models. In one aspect, a method includes providing data that cause presentation of a model development user interface receiving first model rule data through the user interface. The first model rule data specify a first characteristic of a violating resource and a threshold score for the first characteristic. Additional model rule data are received through the user interface. The additional model rule data specify one or more additional model rules. Relationship data are received through the user interface for each of the additional model rules. The relationship data specify sets of the additional model rules that violating resources satisfy. Data that cause a hierarchical presentation of the first model rule and the additional model rules are provided.

    摘要翻译: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于管理决策模型。 一方面,一种方法包括提供数据,该数据使模型开发用户界面的呈现通过用户界面接收第一模型规则数据。 第一模型规则数据指定违反资源的第一特征和第一特征的阈值得分。 通过用户界面接收附加的型号规则数据。 额外的模型规则数据指定一个或多个附加模型规则。 通过用户界面为每个附加模型规则接收关系数据。 关系数据指定违反资源满足的附加模型规则集。 提供导致第一模型规则和附加模型规则的分层呈现的数据。

    USER DEVICE SIDE PREDICTED PERFORMANCE MEASURE ADJUSTMENTS
    2.
    发明申请
    USER DEVICE SIDE PREDICTED PERFORMANCE MEASURE ADJUSTMENTS 审中-公开
    用户设备侧预测性能测量调整

    公开(公告)号:US20150278687A1

    公开(公告)日:2015-10-01

    申请号:US13710914

    申请日:2012-12-11

    IPC分类号: G06N5/02

    摘要: Methods, and systems, including computer programs encoded on computer-readable storage mediums, including a method for providing to a user device a rule set specifying adjustments to be made by the user device to predicted performance measures of content items presented by the user device. The method includes receiving a content item request from a user device for content items, the user device being associated with a user device identifier; determining content items responsive to the content item request, each of the content items have a predicted performance measure; identifying a rule set specifying adjustments to be performed by the user device to the predicted performance measures of the determined content items in response to particular user interactions with the determined content items when presented on the user device; and providing the determined content items and the rule set to the user device in response to the content item request.

    摘要翻译: 方法和系统,包括在计算机可读存储介质上编码的计算机程序,包括用于向用户设备提供指定用户设备进行的调整以将用户设备呈现的内容项目的性能测量的规则集的规则集的方法。 该方法包括从用户设备接收内容项的请求,用户设备与用户设备标识符相关联; 确定响应于所述内容项目请求的内容项,每个所述内容项具有预测的性能度量; 当在所述用户设备上呈现时,识别用于响应于特定用户与所确定的内容项的交互而将所述用户设备执行的调整指定为所确定的内容项的预测性能测量的规则集; 以及响应于所述内容项请求向所述用户设备提供所确定的内容项和所述规则集。

    Compliance model training to classify landing page content that violates content item distribution guidelines
    3.
    发明授权
    Compliance model training to classify landing page content that violates content item distribution guidelines 有权
    合规模式培训,用于分类违反内容项目分发准则的目标网页内容

    公开(公告)号:US08788442B1

    公开(公告)日:2014-07-22

    申请号:US13195172

    申请日:2011-08-01

    IPC分类号: G06N3/04

    CPC分类号: G06N99/005

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for analyzing content item compliance with specified guidelines. In one aspect, a method includes receiving training data that specify manual classifications of content items and feature values for each of the content items, where each manual classification specifies whether the content item is a violating content item. Using the training data, a compliance model is trained to classify an unclassified content item as a violating content item based on the feature values of the unclassified content item. A determination is made that the compliance model has an accuracy measure that meets a threshold accuracy measure. In response to determining that the accuracy measure for the compliance model meets the accuracy threshold, unclassified content items are classified using the feature values for the unclassified content items, and data specifying the classifications are provided.

    摘要翻译: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于根据指定的原则分析内容项符合性。 一方面,一种方法包括接收针对每个内容项目指定内容项目和特征值的手动分类的训练数据,其中每个手动分类指定内容项目是否是违规内容项目。 使用训练数据,训练合规性模型,以根据未分类内容项的特征值将未分类内容项目分类为违规内容项目。 确定合规性模型具有满足阈值精度测量的精度测量。 响应于确定合规模型的精度测量满足精度阈值,使用未分类内容项的特征值对未分类内容项进行分类,并提供指定分类的数据。

    Outcome estimation models trained using regression and ranking techniques
    4.
    发明授权
    Outcome estimation models trained using regression and ranking techniques 有权
    使用回归和排名技术训练结果估计模型

    公开(公告)号:US08572011B1

    公开(公告)日:2013-10-29

    申请号:US12837890

    申请日:2010-07-16

    IPC分类号: G06N3/00

    CPC分类号: G06N99/005

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for outcome estimation and content item selection. In one aspect, a method includes training an outcome estimation model using both regression prediction quality measures and ranking prediction quality measures. In response to receiving a request for one or more content items; a predicted outcome is computed for each content item in a set of content items, each respective outcome being computed using the outcome estimation model and feature values associated with each respective the content item. Selection scores are computed for the content items using the predicted outcome. In turn, one or more content items are selected for presentation based on the selection scores; and data are provided that cause presentation of the one or more content items at a client device.

    摘要翻译: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于结果估计和内容项目选择。 一方面,一种方法包括使用回归预测质量测量和排序预测质量测量来训练结果估计模型。 响应于接收到对一个或多个内容项目的请求; 对一组内容项目中的每个内容项目计算预测结果,使用结果估计模型和与每个相应内容项目相关联的特征值来计算每个相应的结果。 使用预测结果为内容项目计算选择分数。 反过来,基于选择分数选择一个或多个内容项目用于呈现; 并且提供导致在客户端设备处呈现一个或多个内容项的数据。