Statistical model for estimating unique users from unauthenticated cookies
    1.
    发明授权
    Statistical model for estimating unique users from unauthenticated cookies 有权
    用于从未认证的Cookie估计唯一用户的统计模型

    公开(公告)号:US09245228B1

    公开(公告)日:2016-01-26

    申请号:US13974838

    申请日:2013-08-23

    Applicant: Google Inc.

    CPC classification number: G06N7/005 G06N99/005 H04L63/08 H04L67/146

    Abstract: This disclosure generally relates to systems and methods that facilitate employing a statistical model over a specified time frame divided into a plurality of time intervals for estimating a quantity of unique users from a set of unauthenticated unique identifiers, such as cookies, associated with accesses to one or more servers.

    Abstract translation: 本公开总体上涉及有助于将统计模型用于划分为多个时间间隔的统计模型的系统和方法,用于从与一个访问相关联的一组未认证的唯一标识符(例如,cookie)中估计唯一用户的数量 或更多的服务器。

    Statistical model for estimating unique users from unauthenticated cookies

    公开(公告)号:US10210457B1

    公开(公告)日:2019-02-19

    申请号:US14964461

    申请日:2015-12-09

    Applicant: Google Inc.

    Abstract: A system and method are disclosed for estimating a number of unique users (e.g., the number of unique users accessing a website, etc.). In one aspect, one or more transactions occurring during a time frame and a plurality of unauthenticated unique identification records associated with the transactions are identified. The time frame is segmented into disjoint time intervals, and a respective bit pattern is determined for each of the unauthenticated unique identification records. A set of churn patterns is determined based on the bit patterns, and a number of expected unauthenticated unique identification records is determined based on the bit patterns and the churn patterns. A number of unique users is estimated based on the size of the set of churn patterns and the number of expected unauthenticated unique identification records.

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