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    SYSTEMS AND METHODS FOR CLASSIFYING DATA QUERIES BASED ON RESPONSIVE DATA SETS
    1.
    发明公开
    SYSTEMS AND METHODS FOR CLASSIFYING DATA QUERIES BASED ON RESPONSIVE DATA SETS 审中-公开
    用于基于响应数据集分类数据查询的系统和方法

    公开(公告)号：EP3274874A1

    公开(公告)日：2018-01-31

    申请号：EP16764033.3

    申请日：2016-09-01

    申请人： Google Inc.

    发明人： KO, Jeongwoo ,  UYEDA, Frank ,  RUIZ II, Arturo ,  BIDYUK, Bozhena

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30598 ,  G06F17/30528 ,  G06F17/30657 ,  G06F17/30707 ,  G06F17/30864 ,  G06F17/30867

    摘要： An analytics engine for determining analytic relationships in data queries based on responsive data sets includes a memory for storing data and a processor in communication with the memory. The processor is configured to identify a data query for analysis from a query repository, retrieve a plurality of interaction data associated with the data query, wherein the interaction data represents interactions between a plurality of user systems and a query result previously generated based on the data query, wherein the query result includes a plurality of links, identify a link selection count for each of the plurality of links based on the plurality of interaction data, classify the data query as one of a content targeting query and a data-creator targeting query based upon the plurality of link selection counts, and generate a query characteristic analysis based upon the classified data query and the plurality of link selection counts.

    METHODS AND SYSTEMS FOR CREATING A DATA-DRIVEN ATTRIBUTION MODEL FOR ASSIGNING ATTRIBUTION CREDIT TO A PLURALITY OF EVENTS
    2.
    发明公开
    METHODS AND SYSTEMS FOR CREATING A DATA-DRIVEN ATTRIBUTION MODEL FOR ASSIGNING ATTRIBUTION CREDIT TO A PLURALITY OF EVENTS 审中-公开
    方法和系统生成数据为依据的归因模型用于分配ATTRIBUTIONSKREDITEN对事件加以各种

    公开(公告)号：EP3077980A2

    公开(公告)日：2016-10-12

    申请号：EP14819164.6

    申请日：2014-11-25

    申请人： Google Inc.

    发明人： LITTLE, Richard Edward ,  KEE, William Patrick ,  BIDYUK, Bozhena ,  CAI, Chao ,  BARNEY, David Earl ,  SCHNABL, Stefan ,  HUANG, John Chih Chang ,  JACKSON, Todd Morris ,  ZHAO, Xiaosa ,  STEWART, James Edward ,  CAI, Hongxu

    IPC分类号： G06Q50/10

    CPC分类号： G06Q30/0242 ,  G06Q30/0243 ,  G06Q30/0246

    摘要： Systems and methods for selecting content for display at a device includes, identifying by a processor, a visitor identifier associated with a device on which to display content. The processor can identify a path associated with the visitor identifier. The path corresponding to a sequence of one or more events through which the visitor identifier has visited the website. The processor can identify a conversion probability of the identified path. The conversion probability of the identified path indicates a likelihood that the visitor identifier will convert at the website. The conversion probability of the identified path is a ratio of a number of conversions at the website to a number of visits to the website over a given time period. The processor can select content for display. The content selected based on the identified conversion probability of the identified path.

    摘要翻译： 用于创建一个数据驱动归因模型的系统和方法进行了描述。 处理器标识访问到网站。 处理器识别用于与访问相关联的每个访客标识符的路径。 处理器确定性地雷，与所标识的路径的基础上，多次访问路径相应类型的路径类型转换概率相关联的每个路径类型并产生一次转换。 处理器计算，对于每一个路径类型的多个，基于给定的路径类型和路径类型的转换概率的转换概率为每个事件一个反增益根本不包括事件的量，反增益 计算。 处理器确定性的地雷，对每个事件，基于事件的计算反增益归因功劳。 然后，处理器存储每个事件的归属学分。