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    • 9. 发明申请
    • System and method for modeling affinity and cannibalization in customer buying decisions
    • 用于在客户购买决策中建模亲和力和相似性的系统和方法
    • US20050273376A1
    • 2005-12-08
    • US10862104
    • 2004-06-05
    • Kenneth OuimetRobert Pierce
    • Kenneth OuimetRobert Pierce
    • G06Q10/00G06F17/60
    • G06Q10/04G06Q30/0201G06Q30/0202
    • A computer system models customer response using observable data. The observable data includes transaction, product, price, and promotion. The computer system receives data observable from customer responses. A set of factors including customer traffic within a store, selecting a product, and quantity of selected product is defined as expected values, each in terms of a set of parameters related to customer buying decision. A likelihood function is defined for each of the set of factors. The parameters are solved using the observable data and associated likelihood function. The customer response model is time series of unit sales defined by a product combination of the expected value of customer traffic and the expected value of selecting a product and the expected value of quantity of selected product. A linear relationship is given between different products which includes a constant of proportionality that determines affinity and cannibalization relationships between the products.
    • 计算机系统使用可观察数据来模拟客户回应。 可观察的数据包括交易,产品,价格和促销。 计算机系统从客户响应接收可观察到的数据。 包括商店内的客户流量,选择产品和所选产品数量的一系列因素被定义为期望值,每个因素都是与客户购买决策相关的一组参数。 为每组因素定义似然函数。 使用可观察数据和相关似然函数来解决参数。 客户响应模型是由客户流量的预期值与选择产品的预期值与所选产品的预期价值的产品组合定义的单位销售时间序列。 在不同产品之间给出了线性关系,其中包括确定产品之间的亲和性和相似性关系的比例常数。