中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

6 records (took 0.011 seconds)

    Predicting content performance with interest data
    2.
    发明授权
    Predicting content performance with interest data 有权
    用兴趣数据预测内容表现

    公开(公告)号：US09549017B2

    公开(公告)日：2017-01-17

    申请号：US13831110

    申请日：2013-03-14

    Applicant: Google Inc.

    Inventor： Xiaonan Zhang ,  Shankar Ponnekanti ,  Oren Eli Zamir ,  Ting Liu

    IPC: H04L29/08 ,  G06F17/30

    CPC classification number: G06F17/30598 ,  G06F17/30253 ,  G06F17/30256 ,  G06F17/30867 ,  G06N5/02 ,  H04L67/02 ,  H04L67/20 ,  H04L67/303

    Abstract: Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

    Abstract translation: 用兴趣数据预测内容表现的系统和方法包括接收包括客户标识符的内容选择请求。 可以将与客户端标识符相关联的一个或多个主题兴趣类别用作预测模型的输入，以预测作为选择的第三方内容的结果发生在线动作的可能性。 预测的可能性可用于选择第三方内容。

    IN-MARKET CLASSIFICATION FOR ONLINE CONTENT ITEM PLACEMENT CAMPAIGNS
    3.
    发明申请
    IN-MARKET CLASSIFICATION FOR ONLINE CONTENT ITEM PLACEMENT CAMPAIGNS 审中-公开
    在线内容项目放置的市场分类

    公开(公告)号：US20150058116A1

    公开(公告)日：2015-02-26

    申请号：US14091279

    申请日：2013-11-26

    Applicant: Google Inc.

    Inventor： Ting Liu ,  Yingyi Qi

    IPC: G06Q30/02

    CPC classification number: G06Q30/0246

    Abstract: At least one aspect is directed to identifying in-market activity for content placement as part of an online content item placement campaign. A data processing system can determine renderings of online documents by an end user computing device within a time period, and can classify the online documents into a top level subject matter category. At least one of a plurality of sub-categories of the top level subject matter category can be identified as an in-market category that includes some of the online documents. A number of renderings of the plurality of online documents during the time period, and a number of conversions associated with the renderings can be determined A score can be assigned to the end user computing device based on the number of renderings and the number of conversions. Based on the score, the end user computing device can be classified as in-market or out of market.

    Abstract translation: 至少一个方面是针对在线内容项目展示位置活动的一部分来确定内容展示的市场内活动。 数据处理系统可以在一段时间内确定最终用户计算设备的在线文档的渲染，并且可以将在线文档分类为顶级主题类别。 顶级主题类别的多个子类别中的至少一个可以被识别为包括一些在线文档的市场上类别。 可以确定在该时间段期间的多个在线文档的多个渲染，以及与呈现相关联的多个转换。可以基于渲染次数和转换次数将得分分配给最终用户计算设备。 根据得分，终端用户计算设备可以分类为市场或市场。

    PREDICTING CONTENT PERFORMANCE WITH INTEREST DATA
    5.
    发明申请
    PREDICTING CONTENT PERFORMANCE WITH INTEREST DATA 有权
    预测具有利益数据的内容性能

    公开(公告)号：US20140068011A1

    公开(公告)日：2014-03-06

    申请号：US13831110

    申请日：2013-03-14

    Applicant: GOOGLE INC.

    Inventor： Xiaonan Zhang ,  Shankar Ponnekanti ,  Oren Eli Zamir ,  Ting Liu

    IPC: H04L29/08

    CPC classification number: G06F17/30598 ,  G06F17/30253 ,  G06F17/30256 ,  G06F17/30867 ,  G06N5/02 ,  H04L67/02 ,  H04L67/20 ,  H04L67/303

    Abstract: Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

    Abstract translation: 用兴趣数据预测内容表现的系统和方法包括接收包括客户标识符的内容选择请求。 可以将与客户端标识符相关联的一个或多个主题兴趣类别用作预测模型的输入，以预测作为选择的第三方内容的结果发生在线动作的可能性。 预测的可能性可用于选择第三方内容。

Patent Agency Ranking