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    PREDICTIVE RFM SEGMENTATION
    1.
    发明公开
    PREDICTIVE RFM SEGMENTATION 审中-公开

    公开(公告)号：US20240296354A1

    公开(公告)日：2024-09-05

    申请号：US18647916

    申请日：2024-04-26

    申请人： Punchh Inc.

    发明人： ZHAOYAN ZHU ,  Xin Heng

    IPC分类号： G06N5/04 ,  G06F16/24 ,  G06N20/00 ,  G06Q30/0204

    CPC分类号： G06N5/04 ,  G06F16/24 ,  G06N20/00 ,  G06Q30/0204

    摘要： A system and a method are disclosed for adjusting communication settings based on user segmentation. An activity-based communication management system retrieves behavioral and demographic data of at least one user. The system inputs the behavioral data and the demographic data into machine learning models. For each of the machine learning models, the system receives a respective activity parameter characterizing a predicted activity occurring within a time window. The system determines, based on the received activity parameters, a category to which the behavioral data and demographic data belong. The system subsequently adjusts a plurality of communication settings based on the determined category. The activity-based communication management system may provide user segmentation using both empirical activity parameters (e.g., historical behavioral data) and predicted activity parameters.

    Data enrichment and augmentation
    2.
    发明授权
    Data enrichment and augmentation 有权

    公开(公告)号：US12045229B2

    公开(公告)日：2024-07-23

    申请号：US17846532

    申请日：2022-06-22

    申请人： Sumo Logic, Inc.

    发明人： Christian Friedrich Beedgen ,  David M. Andrzejewski ,  Benjamin Everette Newton ,  Kumar Avijit ,  Stefan Christoph Zier

    IPC分类号： G06F16/23 ,  G06F16/22 ,  G06F16/24 ,  G06F16/25

    CPC分类号： G06F16/2379 ,  G06F16/2228 ,  G06F16/24 ,  G06F16/258

    摘要： Data enrichment and augmentation is disclosed. Machine data comprising at least one of a log message and a metrics data point is received. The received machine data comprises an identifier of an instance of a virtual machine. Based at least in part on the identifier of the instance of the virtual machine, a query for tags associated with the instance of the virtual machine is performed. At least one key-value pair is generated based at least in part on tags received in response to the query performed based at least in part on the identifier of the instance of the virtual machine. The received machine data is augmented with the at least one key-value pair generated based at least in part on the tags received in response to the query based at least in part on the identifier of the instance of the virtual machine.