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    Multi-source consumer behavior tracking system
    3.
    发明授权
    Multi-source consumer behavior tracking system 有权
    多源消费者行为跟踪系统

    公开(公告)号：US08768943B2

    公开(公告)日：2014-07-01

    申请号：US12873597

    申请日：2010-09-01

    申请人： Hemanth Puttaswamy ,  Travis Woodruff ,  Srinivasa Ogireddy ,  Nipun Batra ,  Steve Howard

    发明人： Hemanth Puttaswamy ,  Travis Woodruff ,  Srinivasa Ogireddy ,  Nipun Batra ,  Steve Howard

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30964 ,  G06Q30/0201

    摘要： A process for tracking a consumer's behavior based on his or her entries into a number of cybernetic device sources such as personal computers, automated goods and services dispensing kiosks, automated teller machines and cell phones does not depend exclusively upon the presence of cookies implanted into such devices by vendors or upon a consumer's having provided a positive identification form. The process uses a pairing algorithm to comb elements of information from the source device visitation records in search of one or more common characteristics that can be presumptively attributed to a single consumer. Characteristics such as source device identifiers, phone numbers, street addresses or email addresses are each weighted by a weighting factor that is used to identify the consumer and attribute the visitation record and its associated activity to that consumer at a calculated confidence level. The attributed information can analyzed to track that consumer's behavior.

    摘要翻译： 基于他或她的入口进入许多控制论设备源（例如个人计算机，自动化商品和服务器，自动取款机和手机）的跟踪消费者的行为的过程并不完全依赖于植入到这样的 供应商的设备或消费者提供了积极的身份证明。 该过程使用配对算法来梳理源设备访问记录中的信息元素，以搜索可以推定归因于单个消费者的一个或多个共同特征。 源设备标识符，电话号码，街道地址或电子邮件地址等特征各自由加权因子加权，加权因子用于识别消费者，并以计算的置信水平将访问记录及其相关活动归因于该消费者。 分析归属信息以跟踪消费者的行为。

    Multi-source consumer behavior tracking system
    5.
    发明申请
    Multi-source consumer behavior tracking system 有权
    多源消费者行为跟踪系统

    公开(公告)号：US20120054213A1

    公开(公告)日：2012-03-01

    申请号：US12873597

    申请日：2010-09-01

    申请人： Hemanth Puttaswamy ,  Travis Woodruff ,  Srinivasa Ogireddy ,  Nipun Batra ,  Steve Howard

    发明人： Hemanth Puttaswamy ,  Travis Woodruff ,  Srinivasa Ogireddy ,  Nipun Batra ,  Steve Howard

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30964 ,  G06Q30/0201

    摘要： A process for tracking a consumer's behavior based on his or her entries into a number of cybernetic device sources such as personal computers, automated goods and services dispensing kiosks, automated teller machines and cell phones does not depend exclusively upon the presence of cookies implanted into such devices by vendors or upon a consumer's having provided a positive identification form. The process uses a pairing algorithm to comb elements of information from the source device visitation records in search of one or more common characteristics that can be presumptively attributed to a single consumer. Characteristics such as source device identifiers, phone numbers, street addresses or email addresses are each weighted by a weighting factor that is used to identify the consumer and attribute the visitation record and its associated activity to that consumer at a calculated confidence level. The attributed information can analyzed to track that consumer's behavior.

    摘要翻译： 基于他或她的入口进入许多控制论设备源（例如个人计算机，自动化商品和服务器，自动取款机和手机）的跟踪消费者的行为的过程并不完全依赖于植入到这样的 供应商的设备或消费者提供了积极的身份证明。 该过程使用配对算法来梳理源设备访问记录中的信息元素，以搜索可以推定归因于单个消费者的一个或多个共同特征。 源设备标识符，电话号码，街道地址或电子邮件地址等特征各自由加权因子加权，加权因子用于识别消费者，并以计算的置信水平将访问记录及其相关活动归因于该消费者。 分析归属信息以跟踪消费者的行为。