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    • 2. 发明申请
    • CONTRACT-CENTRIC CONTENT SYSTEM
    • 合同中心内容系统
    • US20090030944A1
    • 2009-01-29
    • US11961887
    • 2007-12-20
    • Bin NiDiego LagunasMark P. PalaimaFarhang KassaeiYitao Yao
    • Bin NiDiego LagunasMark P. PalaimaFarhang KassaeiYitao Yao
    • G06F17/30
    • G06Q10/107G06F8/24
    • A method and system to manage content is provided to generate an abstraction layer between a user application and content, based on a formal definition of content (referred to as a content contract). An example content system comprises a content bundle module, a user application, and a content access interface module. The content bundle module may be configured to store content items. A content item may include text items and placeholders. The user application, which does not have to be coded with specific knowledge regarding the content bundle, may be configured to receive a request to provide to a to a client system a presentation package (e.g., a web page) that has the content item, and to obtain the content item and any associated metadata from the content access interface module. Content item metadata may include, for example, information regarding a value to populate a placeholder in the content item.
    • 提供了一种管理内容的方法和系统,用于基于内容的正式定义(称为内容合同)在用户应用和内容之间生成抽象层。 示例内容系统包括内容分组模块,用户应用和内容访问接口模块。 内容分组模块可以被配置为存储内容项。 内容项可以包括文本项和占位符。 用户应用程序不需要用关于内容包的特定知识进行编码,可以被配置为接收向客户端系统提供具有内容项的呈现包(例如,网页)的请求, 并从内容访问接口模块获取内容项目和任何相关联的元数据。 内容项目元数据可以包括例如关于在内容项目中填充占位符的值的信息。
    • 8. 发明授权
    • Multi-channel data driven, real-time anti-money laundering system for electronic payment cards
    • 多渠道数据驱动,电子支付卡实时反洗钱系统
    • US08751399B2
    • 2014-06-10
    • US13549492
    • 2012-07-15
    • Jayashree S. KolhatkarSangita S. FatnaniYitao YaoKazuo Matsumoto
    • Jayashree S. KolhatkarSangita S. FatnaniYitao YaoKazuo Matsumoto
    • G06Q40/00
    • G06Q20/02G06Q20/28G06Q20/34G06Q20/4016G06Q20/405
    • Electronic payment card money laundering detection includes receiving real-time payment card transaction data from ingress channels and an egress channels of at least one payment card system through a first API; generating transactional profiles for each of at least payment cards, the ingress channel, the egress channels, and funding sources of the payment cards; in response to receiving transaction data for a current payment card transaction, evaluating the transaction data using a predictive algorithm that compares the transaction data to the transactional profiles to calculate a probabilistic money laundering score for the current transaction; evaluating the probabilistic money laundering score and current transaction data based on a set of rules to generate a suspicious activity report that recommends whether to approve or report the current transaction; and transmitting the suspicious activity report back to the payment card system and transmitting the suspicious activity report to an identified regulatory body.
    • 电子支付卡洗钱检测包括通过第一API从入口通道接收实时支付卡交易数据和至少一个支付卡系统的出口信道; 为至少支付卡,入口通道,出口通道和支付卡的资金来源中的每一个生成交易简档; 响应于接收当前支付卡交易的交易数据,使用将交易数据与交易简档进行比较以计算当前交易的概率性洗钱分数的预测算法来评估交易数据; 基于一组规则来评估概率洗钱分数和当前交易数据,以生成建议是否批准或报告当前交易的可疑活动报告; 并将可疑活动报告发送回支付卡系统,并将可疑活动报告发送给已识别的监管机构。