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29 条记录 (耗时 0.031 秒)

    System and Method for a Relative Consumer Cost
    23.
    发明申请
    System and Method for a Relative Consumer Cost 审中-公开
    相对消费者成本的系统和方法

    公开(公告)号：US20160055600A1

    公开(公告)日：2016-02-25

    申请号：US14928905

    申请日：2015-10-30

    申请人： American Express Travel Related Services Company, Inc.

    发明人： Lee Chau ,  Terrence Fischer ,  Anthony Mavromatis ,  Venkat Varadachary ,  Michael Wang

    IPC分类号： G06Q50/12 ,  G06Q20/20

    摘要： The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, and/or a share of wallet. The method may further comprise generating a ranked list of items based upon consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

    摘要翻译： 系统和方法可以用于向消费者推荐物品。 方法可以包括基于协作过滤算法来确定与项目相关联的消费者相关性值，并且基于消费者相关性值将与该项目相关联的信息发送给消费者。 协作过滤算法可以作为输入接收与消费者相关联的交易历史，消费者的人口统计，消费者简档，交易账户类型，与消费者相关联的交易账户，消费者持有的时间段 交易账户，钱包的大小和/或钱包的份额。 该方法还可以包括基于消费者相关性值来生成排序的项目列表，基于商家目标向商品发送商品的排序列表和/或重新排列商品的列表。

    Systems and methods for dynamic construction of entity graphs
    24.
    发明授权
    Systems and methods for dynamic construction of entity graphs 有权
    实体图动态构建的系统和方法

    公开(公告)号：US09087088B1

    公开(公告)日：2015-07-21

    申请号：US13675651

    申请日：2012-11-13

    申请人： American Express Travel Related Services Company, Inc.

    发明人： Abhijit Bose ,  Winnie Cheng ,  Anthony Mavromatis ,  Huiming Qu ,  Benjamin Schulte ,  Kendell Timmers ,  Venkat Varadachary ,  Wei Yin ,  Hao Zhou

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30958 ,  G06F17/30312 ,  G06F17/30604 ,  G06Q20/4016 ,  G06Q30/0269 ,  G06Q40/00

    摘要： The present disclosure includes a system, method, and article of manufacture for generating an entity graph. The method may comprise determining a relationship between a first entity and a second entity based upon internal data, external data, and/or online data associated with the first entity, and generating the entity graph comprising at least two nodes and an edge connecting the at least two nodes. The method may further comprise, in various embodiments, tailoring marketing to the first entity based upon the entity graph, detecting fraud against the first entity based upon the entity graph, periodically updating the entity graph based upon new internal data and new online data, and/or adjusting the edge based upon a change in the relationship between the first entity and the second entity.

    摘要翻译： 本公开包括用于生成实体图的系统，方法和制品。 该方法可以包括基于与第一实体相关联的内部数据，外部数据和/或在线数据来确定第一实体和第二实体之间的关系，以及生成包括至少两个节点的实体图和连接在第 最少两个节点。 该方法还可以包括在各种实施例中，基于实体图对第一实体定制营销，基于实体图检测针对第一实体的欺诈，基于新的内部数据和新的在线数据周期性地更新实体图，以及 /或者基于第一实体和第二实体之间的关系的改变来调整边缘。

    System and method for an estimated consumer price
    27.
    发明授权
    System and method for an estimated consumer price 有权

    公开(公告)号：US11367086B2

    公开(公告)日：2022-06-21

    申请号：US14928786

    申请日：2015-10-30

    申请人： American Express Travel Related Services Company, Inc.

    发明人： Lee Chau ,  Terrence Fischer ,  Anthony Mavromatis ,  Venkat Varadachary ,  Michael Wang

    IPC分类号： G06Q30/02 ,  G06Q30/06 ,  G06Q20/20 ,  G06F21/62 ,  G06Q50/00

    摘要： The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, and/or a share of wallet. The method may further comprise generating a ranked list of items based upon consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

    System and Method for a Service Sentiment Indictor
    29.
    发明申请
    System and Method for a Service Sentiment Indictor 审中-公开
    服务情绪指导者的系统和方法

    公开(公告)号：US20160055493A1

    公开(公告)日：2016-02-25

    申请号：US14928680

    申请日：2015-10-30

    申请人： American Express Travel Related Services Company, Inc.

    发明人： Lee Chau ,  Terrence Fischer ,  Anthony Mavromatis ,  Venkat Varadachary ,  Michael Wang

    IPC分类号： G06Q30/02

    CPC分类号： G06Q30/0201 ,  G06F21/6218 ,  G06Q20/209 ,  G06Q30/0204 ,  G06Q30/0206 ,  G06Q30/0222 ,  G06Q30/0236 ,  G06Q30/0246 ,  G06Q30/0251 ,  G06Q30/0254 ,  G06Q30/0255 ,  G06Q30/0261 ,  G06Q30/0267 ,  G06Q30/0269 ,  G06Q30/0282 ,  G06Q30/0631 ,  G06Q50/01

    摘要： The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, and/or a share of wallet. The method may further comprise generating a ranked list of items based upon consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

    摘要翻译： 系统和方法可以用于向消费者推荐物品。 方法可以包括基于协作过滤算法来确定与项目相关联的消费者相关性值，并且基于消费者相关性值将与该项目相关联的信息发送给消费者。 协作过滤算法可以作为输入接收与消费者相关联的交易历史，消费者的人口统计，消费者简档，交易账户类型，与消费者相关联的交易账户，消费者持有的时间段 交易账户，钱包的大小和/或钱包的份额。 该方法还可以包括基于消费者相关性值来生成排序的项目列表，基于商家目标向商品发送商品的排序列表和/或重新排列商品的列表。