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SYSTEMS AND METHODS FOR DETERMINING OFFER ELIGIBILITY USING A PREDICATE LOGIC TREE AGAINST SETS OF INPUT DATA

机译:使用针对输入数据集的预测逻辑树来确定要约资格的系统和方法

摘要

Example computer executable instructions for determining a consumer's offer eligibility using a predicate logic tree against sets of input data are provided. In particular, the disclosed examples recite a rewards engine capable of determining a consumer's offer eligibility using a predicate logic tree against sets of input data. The rewards engine applies rules that are relevant to a particular deal offered by a retail establishment to the consumer's records to determine the consumer's offer eligibility. In some examples, the rewards engine sorts or partially sorts some or all of the consumer's records to determine the consumer's offer eligibility.
机译:提供了用于使用谓词逻辑树针对输入数据集来确定消费者的要约资格的示例计算机可执行指令。特别地,所公开的示例列举了一种奖励引擎,该奖励引擎能够使用谓词逻辑树针对输入数据集来确定消费者的报价资格。奖励引擎将与零售机构提供的特定交易相关的规则应用于消费者的记录,以确定消费者的提议资格。在一些示例中,奖励引擎对部分或全部消费者记录进行排序或部分排序,以确定消费者的报价资格。

著录项

  • 公开/公告号CA2876423C

    专利类型

  • 公开/公告日2020-09-15

    原文格式PDF

  • 申请/专利权人 SEARS BRANDS LLC;

    申请/专利号CA20132876423

  • 发明设计人 ZACHRISEN ESPEN;

    申请日2013-05-29

  • 分类号G06Q30/02;

  • 国家 CA

  • 入库时间 2022-08-21 11:15:07

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