Systems and methods for dynamic queue control using machine learning techniques

    公开(公告)号:US11010488B2

    公开(公告)日:2021-05-18

    申请号:US16740910

    申请日:2020-01-13

    IPC分类号: G06F21/62 G06N20/00

    摘要: Certain embodiments of the present disclosure relate to systems and methods that control access to system resources, such as interfaces, access rights to events, query systems, and other suitable system resources. Further, certain embodiments of the present disclosure relate to a collision detection technique that is implemented to control which and/or a number of queue positions within a queue that are processed. In some implementations, a collision may be detected when two or more users request the same access right within a defined time period.

    Systems and methods for scalable-factor authentication

    公开(公告)号:US10187390B2

    公开(公告)日:2019-01-22

    申请号:US15811078

    申请日:2017-11-13

    摘要: Authentication systems and methods can selectively authenticate a request to access a resource data store storing access rights associated with a user device. The systems and methods can scalably execute challenges workflows as part of the authentication process. For example, a request to access one or more access rights stored in the data store can be received from the user device. The user device can be authenticated using challenge workflows selected based on a device identifier of the user device. The selected challenge workflows can be executed to determine whether or not to grant access to the access rights stored in the resource data store.