SYSTEMS AND METHODS FOR ADAPTING PLATFORM BEHAVIOR USING MACHINE-LEARNING-BASED REMOTE ENTITY LIFECYCLE MONITORING

    公开(公告)号:US20240078466A1

    公开(公告)日:2024-03-07

    申请号:US17929290

    申请日:2022-09-01

    IPC分类号: G06N20/00 G06F16/951

    CPC分类号: G06N20/00 G06F16/951

    摘要: Platform behavior may be adapted via machine-learning-based entity lifecycle monitoring. A web crawler agent collects data comprising an entity identifier token. A machine learning model is trained to determine, based at least in part on the entity identifier token, whether a corresponding entity is associated with the computing platform (e.g., whether the corresponding entity is a platform subscriber entity for the computing platform). Based on the output of the machine learning model applied to the entity identifier token (in some embodiments, in combination with other relevant data parsed from the collected data), an indication of an entity lifecycle status and a confidence value therefor are determined. Based on the entity lifecycle status and the confidence value, a listener is bound to the platform subscriber entity. The listener monitors activity of the platform subscriber entity with respect to the platform and identifies platform action to take in response.

    SYSTEM AND METHOD FOR SOCIAL THROTTLING
    2.
    发明公开

    公开(公告)号:US20240296473A1

    公开(公告)日:2024-09-05

    申请号:US18116597

    申请日:2023-03-02

    摘要: A system and method for discounting the cost of goods based on social throttling is disclosed. A discount system is provided with discounting parameters that can include a starting price for the good, a price progression of the good based on the numbers of purchases, a maximum discount, and other parameters. During the promotion, as the number of purchases increases, the total discount also increases according to those parameters. Additionally, further discount incentives can be provided to individuals who promote the promotion on social media, or based on other factors, such as whether they are early adopters or frequent participants. Accordingly, the retailer benefits from increased sales and the customers benefit from reduced prices.