Systems and methods for configuring resource transfers

    公开(公告)号:US12131302B2

    公开(公告)日:2024-10-29

    申请号:US18509796

    申请日:2023-11-15

    IPC分类号: G06Q20/10 G06Q20/34 H04L41/22

    摘要: A computer-implemented method is disclosed. The method includes: providing, for display on a client device, a graphical user interface for configuring resource transfers with theme data for a theme, wherein providing the graphical user interface includes: receiving, via the client device, a selection of a theme associated with a first type; determining multimedia content items to present via the graphical user interface based on the selected theme and a mapping of message themes to available multimedia content items; and graphically presenting, via the graphical user interface, one or more user interface elements corresponding to the multimedia content items in a message composition view for a message, and causing a message composed via the message composition view and a concurrent transfer of resources comprising stored value associated with the message to be sent.

    Systems and methods for controlling access to data records

    公开(公告)号:US12130936B2

    公开(公告)日:2024-10-29

    申请号:US17376254

    申请日:2021-07-15

    IPC分类号: G06F21/62 G06F21/32 G06V40/16

    摘要: A computer-implemented method is disclosed. The method includes: detecting a trigger event associated with a data record; in response to detecting the trigger event, enabling an access control for the data record, the access control defining one or more restrictions on accessing the data record; receiving at least one biometric data capture of a user and a digital form of at least one identification document associated with the user; obtaining verification results representing an identity verification status of the user based on a document verification process using the at least one biometric data capture and the digital form; in response to determining that the verification results satisfy first conditions: verifying user-inputted data based on contents of the at least one identification document; and in response to the verifying, disabling the access control for the data record.

    CALIBRATED MODEL INTERVENTION WITH CONFORMAL THRESHOLD

    公开(公告)号:US20240330772A1

    公开(公告)日:2024-10-03

    申请号:US18618757

    申请日:2024-03-27

    IPC分类号: G06N20/00

    CPC分类号: G06N20/00

    摘要: A classification model is calibrated with a conformal threshold to determine a known error rate for classifications. Rather than directly use the model outputs, the classification model outputs are processed to a conformal score that is compared with a conformal threshold for determining whether a data sample is a member of a class. When a number of classes for the data sample that pass the conformal threshold for inclusion is a single class, an action associated with the class can confidently be applied with a known error rate. When the number of classes is zero or multiple classes, it may indicate sufficient uncertainty in the model prediction and the data sample may be escalated to another decision mechanism, such as manual review or a more complex classification model.

    METHOD AND SYSTEM FOR DETERMINING TRANSFERABILITY OF RESOURCES

    公开(公告)号:US20240323138A1

    公开(公告)日:2024-09-26

    申请号:US18187876

    申请日:2023-03-22

    摘要: A server computer system, comprises a processor; a communications module coupled to the processor; and a memory coupled to the processor, the memory storing instructions that, when executed, configure the processor to obtain resource availability data for resources maintained by a resource provider; receive, via the communications module and from a third party server computer system, session data that includes a request to perform an operation; determine, based on the session data, that the resources are transferable to perform the operation; and responsive to determining that the resources are transferable to perform the operation, update a graphical user interface displayed on a client device to indicate that the resources are transferable to perform the operation.

    System and method of processing a data access request

    公开(公告)号:US12067137B2

    公开(公告)日:2024-08-20

    申请号:US17490743

    申请日:2021-09-30

    IPC分类号: G06F21/62 G06Q40/02

    CPC分类号: G06F21/6218 G06Q40/02

    摘要: Computing platforms, methods, and storage media for processing a data access request are disclosed. Exemplary implementations may: receive, at an apparatus, a data access request from a communication device and via a network; and generate, at the apparatus and based on the received data access request, a revocable 1:1:1 token that authorizes data sharing for a specific combination of third party application-aggregator-institution. Exemplary implementations may transmit the revocable 1:1:1 token for storage in a token database, and may store the 1:1:1 tokens in a token database associated with an institution related to the data access request; this allows access to be managed by the user and controlled by the institution, without relying on the aggregator. Exemplary implementations may provide a dashboard enabling a user to individually remove apps from data sharing, based on management of the 1:1:1 tokens.

    CONTENT RECOMMENDATION SYSTEM
    8.
    发明公开

    公开(公告)号:US20240265055A1

    公开(公告)日:2024-08-08

    申请号:US18163358

    申请日:2023-02-02

    IPC分类号: G06F16/954 H04L67/50

    CPC分类号: G06F16/954 H04L67/535

    摘要: One example method includes determining, based on user activity data, that a first user of a first platform has not interacted with content of a content platform during a particular timeframe. First attribute data corresponding to the first user can be obtained from a user account repository stored on the first platform. The first attribute data can be input into a trained model. The trained model is trained using attribute data for a plurality of users of the first platform and corresponding content preference data for the plurality of users. Data identifying a set of users of the first platform who are expected to have similar content preferences as the first user can be obtained using an output generated by the trained model in response to the input first attribute data. A list of content items can be generated using content with which the set of users has interacted, a list of content items. The list of content items can be provided for display in a user interface of the content platform.

    MODEL-BASED CANDIDATE SCREENING AND EVALUATION TOOLS

    公开(公告)号:US20240257059A1

    公开(公告)日:2024-08-01

    申请号:US18162384

    申请日:2023-01-31

    发明人: Moshe Karl

    IPC分类号: G06Q10/1053

    CPC分类号: G06Q10/1053

    摘要: One example method includes identifying, using a text analysis engine and in a digitized text representing notes of an interviewer regarding an interviewee, a landmark indicating an impression of the interviewer toward the interviewee. An impression score can then be computed, based on the landmark and context of the landmark in the digitized text. A plurality of impression scores including the impression score can then be combined to generate an aggregate impression score indicating an overall impression of the interviewer toward the interviewee. Data representing impression relating to the interviewee, where the data can include the aggregation impression score, can then be provided for display on a client device.

    SYSTEMS AND METHODS FOR USING MACHINE LEARNING AS A SEGMENTATION TOOL

    公开(公告)号:US20240256903A1

    公开(公告)日:2024-08-01

    申请号:US18374126

    申请日:2023-09-28

    IPC分类号: G06N5/01 G06N20/00

    CPC分类号: G06N5/01 G06N20/00

    摘要: Various examples are directed to providing segmentation tools using machine learning for executable decision tree generation on graphical user interfaces. For example, a system may generate a segmentation tool for receiving input data from a server including data related to a plurality of attributes of a set of records. The segmentation tool then generates a segmentation user interface for receiving input for parameters relating to features of interest and defined decision tree characteristics for generation of a decision tree having a set of nodes. The segmentation tool may further apply a machine learning model to generate an optimal decision tree based on the input data and the set of parameters. The segmentation tool may further extract a set of statistics related to the optimal decision tree including efficacy graphs and provide for presentation an interactive graphical interface concurrently depicting the optimal decision tree and the set of statistics.