System for suggesting words, phrases, or entities to complete sequences in risk control documents

    公开(公告)号:US11816422B1

    公开(公告)日:2023-11-14

    申请号:US17886818

    申请日:2022-08-12

    CPC classification number: G06F40/166 G06F40/295 G06F40/40

    Abstract: Embodiments disclosed are directed to a computing system that performs steps to automatically suggest a word, phrase, or entity to complete a sequence in a risk control document. The computing system classifies, by a generative machine learning (ML) model, risk control features associated with phrases in a risk control document. The computing system then generates, by the generative ML model and based on the classified risk control features, suggested words, phrases, or entities to complete a sequence following a cursor position in the risk control document. The computing system then corrects, by a discriminative natural language processing (NLP) model with domain specific knowledge, the suggested words, phrases, or entities. Subsequently, the computing system generates, by a discriminative predictor system, an encoded sequence of word, phrase, or entity suggestions based on the cursor position, the classified risk control features, and the corrected suggested words, phrases, or entities.

    User authentication
    2.
    发明授权

    公开(公告)号:US12022281B2

    公开(公告)日:2024-06-25

    申请号:US17355279

    申请日:2021-06-23

    CPC classification number: H04W12/06 H04L9/30 H04W12/63

    Abstract: Methods and systems are disclosed herein for secure communication between computing devices. A mobile device may communicate with an untrusted device to cause the untrusted device to send information (e.g., encrypted information that the untrusted device is unable to decrypt) to a server using an Internet connection of the untrusted device. The mobile device may have limited or no access to the Internet. To prevent potential security risks associated with using a public or untrusted device, the mobile device may encrypt information stored on the mobile device (e.g., stored in a mobile application associated with the server), send it to the untrusted device (e.g., by displaying a QR code to a camera of the untrusted device), and the untrusted device may send the information to the server via a network connection of the untrusted device.

    System and methods for identifying and troubleshooting customer issues to preempt customer calls

    公开(公告)号:US12073414B2

    公开(公告)日:2024-08-27

    申请号:US17403160

    申请日:2021-08-16

    CPC classification number: G06Q30/016 G06N3/08

    Abstract: Disclosed embodiments may include a system that may receive an interaction message associated with an interaction a user has with an application or website, the interaction message may include an error message or a repeated action message. The system may identify, using a first machine learning model, one or more issues associated with the interaction message, retrieve one or more troubleshooting steps mapped to the one or more issues, and generate a first message comprising the one or more troubleshooting steps and a feedback request on an effectiveness of the one or more troubleshooting steps. The system may transmit the first message to the user, receive feedback from the user in response to the feedback request, and determine whether the feedback is negative. When the feedback is negative, the system may transmit a second message to a representative requesting the representative call the user.

    SYSTEM AND METHODS FOR IDENTIFYING AND TROUBLESHOOTING CUSTOMER ISSUES TO PREEMPT CUSTOMER CALLS

    公开(公告)号:US20230047346A1

    公开(公告)日:2023-02-16

    申请号:US17403160

    申请日:2021-08-16

    Abstract: Disclosed embodiments may include a system that may receive an interaction message associated with an interaction a user has with an application or website, the interaction message may include an error message or a repeated action message. The system may identify, using a first machine learning model, one or more issues associated with the interaction message, retrieve one or more troubleshooting steps mapped to the one or more issues, and generate a first message comprising the one or more troubleshooting steps and a feedback request on an effectiveness of the one or more troubleshooting steps. The system may transmit the first message to the user, receive feedback from the user in response to the feedback request, and determine whether the feedback is negative. When the feedback is negative, the system may transmit a second message to a representative requesting the representative call the user.

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