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    • 1. 发明申请
    • SYSTEMS AND METHODS FOR APPENDING PAYMENT NETWORK DATA TO NON-PAYMENT NETWORK TRANSACTION BASED DATASETS THROUGH INFERRED MATCH MODELING
    • 将支付网络数据附加到基于非支付网络交易的数据通过引入匹配建模的系统和方法
    • US20150220937A1
    • 2015-08-06
    • US14169749
    • 2014-01-31
    • MasterCard International Incorporated
    • Marianne IannaceLuckner B. Polycarpe
    • G06Q30/02
    • G06Q30/0201
    • A method includes receiving a first data set and a second data set. The first data set may include anonymized transaction data that represents purchase transactions made by customers of a merchant. The second data set may include anonymized transaction data that represents purchase transactions made by cardholders in a payment network. The method further includes filtering the second data set to remove therefrom data relating to cardholders who are not customers of the merchant, and processing the first data set and the filtered second data set using a probabilistic engine to establish linkages between data in the first data set and data in the filtered second data set. The method may also include analyzing data in the filtered second data set to generate one or more of shopping habits data, classification data and attribute data with respect to customers of the merchant.
    • 一种方法包括接收第一数据集和第二数据集。 第一数据集可以包括匿名的交易数据,其表示商家的客户进行的购买交易。 第二数据集可以包括代表支付网络中的持卡人进行的购买交易的匿名交易数据。 该方法还包括过滤第二数据集以从其中移除与不是商户的客户的持卡人有关的数据,以及使用概率引擎处理第一数据集和滤波后的第二数据集以建立第一数据集中的数据之间的联系 和过滤的第二数据集中的数据。 该方法还可以包括分析经滤波的第二数据集中的数据以生成关于商家的客户的购物习惯数据,分类数据和属性数据中的一个或多个。
    • 3. 发明申请
    • SYSTEMS AND METHODS FOR DEVELOPING JOINT PREDICTIVE SCORES BETWEEN NON-PAYMENT SYSTEM MERCHANTS AND PAYMENT SYSTEMS THROUGH INFERRED MATCH MODELING SYSTEM AND METHODS
    • 通过推荐的配对建模系统和方法开发非支付系统商品与支付系统之间的联合预测分数的系统和方法
    • US20150220945A1
    • 2015-08-06
    • US14169866
    • 2014-01-31
    • MASTERCARD INTERNATIONAL INCORPORATED
    • Marianne IannaceLuckner B. Polycarpe
    • G06Q30/02
    • G06Q30/0202
    • A method includes receiving a first data set and a second data set. The first data set may include anonymized transaction data that represents purchase transactions made by customers of a merchant. The second data set may include anonymized transaction data that represents purchase transactions made by cardholders in a payment network. The method further includes filtering the second data set to remove therefrom data relating to cardholders who are not customers of the merchant, and processing the first data set and the filtered second data set using a probabilistic engine to establish linkages between data in the first data set and data in the filtered second data set. The method may also include performing a predictive analysis based on one or more independent variables from the second data set and with a dependent variable represented in the first data set.
    • 一种方法包括接收第一数据集和第二数据集。 第一数据集可以包括匿名的交易数据,其表示商家的客户进行的购买交易。 第二数据集可以包括代表支付网络中的持卡人进行的购买交易的匿名交易数据。 该方法还包括过滤第二数据集以从其中移除与不是商户的客户的持卡人有关的数据,以及使用概率引擎处理第一数据集和滤波后的第二数据集以建立第一数据集中的数据之间的联系 和过滤的第二数据集中的数据。 该方法还可以包括基于来自第二数据集的一个或多个独立变量以及在第一数据集中表示的从属变量执行预测分析。