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    SYSTEMS AND METHODS FOR SELECTING AND SERVING CONTENT ITEMS BASED ON VIEW PROBABILITY
    2.
    发明申请
    SYSTEMS AND METHODS FOR SELECTING AND SERVING CONTENT ITEMS BASED ON VIEW PROBABILITY 审中-公开
    基于视图概率选择和服务内容项目的系统和方法

    公开(公告)号：US20140372205A1

    公开(公告)日：2014-12-18

    申请号：US13916407

    申请日：2013-06-12

    Applicant: Google Inc.

    Inventor： Jonathan William Ray ,  Farnaz Azmoodeh ,  Eric Wood ,  Congxing Cai ,  Paul Schelte Albert Reitsma ,  Glenn Wilson ,  Peng Zhang ,  Troy Louis Walker

    IPC: G06Q30/02

    CPC classification number: G06Q30/0254 ,  G06F17/2247 ,  G06K9/00469 ,  G06K9/6202 ,  G06Q30/0242 ,  G06Q30/0275

    Abstract: A system may select and serve content items based on a view probability. The view probability may be determined using a view probability predictive model and one or more current viewability variables. Based on the determined view probability output by the view probability predictive model, a content item may be selected and served. A script may be included with or otherwise associated with the data output to effect presentation of the selected content item. The script outputs data indicative of whether the served content item is viewed on a display of a device. The script may output data indicating that the served content item is viewed when at least a predetermined percentage of the pixels of the served content item are within a viewable region for a period of time. A served content item may be determined to not have been viewed if a predetermined period of time elapses.

    Abstract translation: 系统可以基于视图概率来选择和提供内容项。 可以使用视图概率预测模型和一个或多个当前可见度变量来确定视图概率。 基于由视图概率预测模型输出的确定的视图概率，可以选择并提供内容项。 脚本可以包括在数据输出中或以其他方式与数据输出相关联以实现所选内容项的呈现。 该脚本输出指示在所述设备的显示器上是否观看所述被服务的内容项目的数据。 当所服务的内容项目的至少一个预定百分比的像素在可视区域内一段时间时，脚本可以输出指示所服务的内容项目被查看的数据。 如果经过预定的时间段，则可以确定所服务的内容项目不被查看。

    IMAGE PIXEL STATUS DETERMINATION
    3.
    发明申请
    IMAGE PIXEL STATUS DETERMINATION 审中-公开
    图像像素状态确定

    公开(公告)号：US20160335664A1

    公开(公告)日：2016-11-17

    申请号：US15091323

    申请日：2016-04-05

    Applicant: Google Inc.

    Inventor： Jonathan William Ray ,  Farnaz Azmoodeh ,  Eric Wood ,  Congxing Cai ,  Paul Schelte Albert Reitsma ,  Glenn Wilson ,  Peng Zhang ,  Troy Louis Walker

    IPC: G06Q30/02 ,  G06K9/00 ,  G06K9/62 ,  G06F17/22

    CPC classification number: G06Q30/0254 ,  G06F17/2247 ,  G06K9/00469 ,  G06K9/6202 ,  G06Q30/0242 ,  G06Q30/0275

    Abstract: Systems and methods to determine image pixel status on a hardware display are provided. The systems and methods can determine a status of a uniquely identifiable measurement pixel of a first content item displayed on a display of a client device. The status can indicate that the measurement pixel is present in a viewable region of the display. The systems and methods can receive viewability variables from the client device. The viewability variables can include information regarding physical and electrical characteristics of the display, and can include information regarding data displayed on the display. The systems and methods can generate a view probability predictive model based on statuses and viewability variables determined from other client devices that previously displayed content items having measurement pixels.

    Abstract translation: 提供了确定硬件显示器上图像像素状态的系统和方法。 系统和方法可以确定在客户端设备的显示器上显示的第一内容项目的唯一可识别的测量像素的状态。 该状态可以指示测量像素存在于显示器的可视区域中。 系统和方法可以从客户端设备接收可见性变量。 可见度变量可以包括关于显示器的物理和电特性的信息，并且可以包括关于在显示器上显示的数据的信息。 系统和方法可以基于先前显示具有测量像素的内容项的其他客户端设备确定的状态和可见度变量来生成视图概率预测模型。

    Predicting Visibility of Content Items
    5.
    发明申请
    Predicting Visibility of Content Items 审中-公开
    预测内容项目的可见性

    公开(公告)号：US20150269615A1

    公开(公告)日：2015-09-24

    申请号：US14734644

    申请日：2015-06-09

    Applicant: Google Inc.

    Inventor： Paul Schelte Albert Reitsma ,  Thomas J. Murray, IV ,  Peng Zhang

    IPC: G06Q30/02 ,  G06N5/02

    CPC classification number: G06Q30/0254 ,  G06N5/02 ,  G06Q30/02 ,  G06Q30/0241

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a method for predicting visibility of web pages. The method comprises identifying web pages that include slots for presenting content. The method further comprises, for each slot, creating a fingerprint based on a URL associated with the page and structural information associated with the slot's location on the page, determining a likelihood of the slot being visible when the web page is initially presented, the likelihood in the form of a predictive model, and saving the fingerprint and predictive model in a data structure. The method further comprises receiving a request for content from a web page, creating fingerprints associated with the web page, and comparing the fingerprints to fingerprints in the data structure. When a matching fingerprint is located, prediction data is used that is associated with a matching fingerprint for the web page.

    Abstract translation: 方法，系统和装置，包括在计算机可读存储介质上编码的计算机程序，并且包括用于预测网页的可见性的方法。 该方法包括识别包括用于呈现内容的时隙的网页。 所述方法还包括：针对每个时隙，基于与所述页面相关联的URL和与所述页面上的时隙的位置相关联的结构信息来创建指纹，确定当所述网页最初被呈现时所述时隙的可能性是可见的，所述可能性 以预测模型的形式，并将指纹和预测模型保存在数据结构中。 该方法还包括从网页接收对内容的请求，创建与网页相关联的指纹，以及将指纹与数据结构中的指纹进行比较。 当找到匹配的指纹时，使用与网页的匹配指纹相关联的预测数据。

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