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Using both social media and non-social media information to identify anomalous behavior

机译:使用社交媒体和非社交媒体信息来识别异常行为

摘要

A method, system and computer program product for identifying anomalous behavior (e.g., suspicious transactions). Information from at least one social media source (e.g., a posting) and from at least one non-social media source (e.g., a booking) are monitored. A transaction (e.g., credit card transaction) involving a user is identified. The monitored information is then analyzed to identify one or more characteristics (e.g., location of the user) of the user. A rating of invalidity of the transaction is generated based on the one or more characteristics, where the rating of invalidity refers to the likelihood that the transaction is likely to be anomaly, such as a suspicious transaction. If the rating exceeds a threshold, then an anomaly may be said to have occurred. By identifying anomalous behavior using both social media and non-social media sources, anomalous activities that truly occurred will be more accurately detected.
机译:用于识别异常行为的方法,系统和计算机程序产品(例如,可疑事务)。 监测来自至少一个社交媒体源(例如,发布)和至少一个非社交媒体来源(例如,预订)的信息。 识别涉及用户的交易(例如,信用卡交易)。 然后分析受监视的信息以识别用户的一个或多个特征(例如,用户的位置)。 基于一个或多个特征生成交易的无效性的评级,其中无效性的额定值是指事务可能是异常的可能性,例如可疑事务。 如果额定值超过阈值,则可以说发生异常发生异常。 通过使用社交媒体和非社交媒体来源识别异常行为,将更准确地检测到真正发生的异常活动。

著录项

  • 公开/公告号US11120431B2

    专利类型

  • 公开/公告日2021-09-14

    原文格式PDF

  • 申请/专利权人 AIRBNB INC.;

    申请/专利号US201816134180

  • 发明设计人 DAVID L. KAMINSKY;GIRISH SUNDARAM;

    申请日2018-09-18

  • 分类号G06Q30;G06Q20/38;G06Q50;G06Q20/12;

  • 国家 US

  • 入库时间 2022-08-24 21:01:21

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