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    • 5. 发明申请
    • GRADUATED SECURITY SEASONING APPARATUSES, METHODS AND SYSTEMS
    • 研究安全季节性设备,方法和系统
    • US20130218765A1
    • 2013-08-22
    • US13434818
    • 2012-03-29
    • Ayman HammadKevin P. SiegelCraig O'Connell
    • Ayman HammadKevin P. SiegelCraig O'Connell
    • G06Q20/36
    • G06Q30/06G06Q20/4016
    • The GRADUATED SECURITY SEASONING APPARATUSES, METHODS AND SYSTEMS (“GSS”) transform user virtual wallet activity and historical fraud reports via GSS components into transaction authorization triggers generated pursuant to graduated, transaction risk-appropriate, escalated security protocols. In one implementation, the GSS obtains a current transaction request, the request utilizing a user virtual wallet account for payment. The GSS identifies a transaction risk type associated with the request, and calculates a transaction risk level associated with the transaction risk type. Based on the transaction risk level, the GSS selects a security protocol for processing the current transaction request; and provide a security data request in accordance with the selected security protocol. The GSS also generates an offer, for an entity involved in processing the current transaction request, of a financial incentive in exchange for assuming the transaction risk level associated with the transaction risk type; and provides the offer for the entity.
    • GRAUATED SECURITY SEASONING APPARATUSES,METHODS AND SYSTEMS(“GSS”)将用户虚拟钱包活动和历史欺诈报告通过GSS组件转换为根据分级,交易风险适当,升级的安全协议生成的事务授权触发器。 在一个实现中,GSS获得当前交易请求,该请求利用用户虚拟钱包帐户进行支付。 GSS识别与请求相关联的交易风险类型,并计算与交易风险类型相关联的交易风险级别。 根据交易风险级别,GSS选择用于处理当前交易请求的安全协议; 并根据所选择的安全协议提供安全数据请求。 GSS还为涉及处理当前交易请求的实体提供财务激励以换取假设与交易风险类型相关联的交易风险水平的报价; 并为实体提供报价。
    • 9. 发明申请
    • DEMOGRAPHIC ANALYSIS USING TIME-BASED CONSUMER TRANSACTION HISTORIES
    • 使用基于时间的消费者交易历史的人口统计分析
    • US20100280881A1
    • 2010-11-04
    • US12773766
    • 2010-05-04
    • Patrick FaithKevin P. SiegelZhongxiao Jiang
    • Patrick FaithKevin P. SiegelZhongxiao Jiang
    • G06Q10/00G06N5/02G06N3/02
    • Systems, apparatus, and methods for determining groups of similar consumers and for identifying a trend in consumer behavior are provided. Likelihoods of a transaction being initiated at various times by one consumer can be calculated based on previous transactions of the consumer. The likelihoods for different consumers can be used to determine a group of similar consumers as a demographic. The likelihoods of a transaction being initiated at various times by a consumer of a demographic (or other entity) can be used to forecast trends (such as a demand for a product) and make business decisions, such as for marketing campaigns, inventory levels (e.g. at particular stores or for all stores), pricing, and store locations. Such likelihoods when focused to a particular category of transactions can provide even greater accuracy.
    • 提供了用于确定类似消费者群体并识别消费者行为趋势的系统,装置和方法。 可以根据消费者的先前交易来计算在一个消费者的不同时间发起的交易的可能性。 不同消费者的可能性可用于确定一组类似消费者的人口。 消费者可以使用人口统计(或其他实体)在不同时间启动交易的可能性来预测趋势(例如对产品的需求),并做出业务决策,例如营销活动,库存水平( 例如在特定商店或所有商店),定价和商店位置。 当专注于特定类别的交易时,这种可能性可以提供更高的准确性。