Gamified Digital Commerce Marketplace

    公开(公告)号:US20250166020A1

    公开(公告)日:2025-05-22

    申请号:US18445742

    申请日:2024-01-10

    Abstract: A digital commerce networked (e.g., Protocols: TCP/IP, BECKN, . . . ) marketplace for buyer-consumer-Players and seller-merchant-players, particularly micro-small-medium enterprises, coordinated by interconnected regional-provider-auctioneers.
    Each seller-merchant-player in said marketplace has product-service-activity-attraction offerings, which are analytic-algorithm searched, by each buyer-consumer-players, on said network to select product-service-activity-attraction, based on each buyer-consumer-player's needs-wants and placed in said buyer-consumer-player's shopping bag of icons.
    Each buyer-consumer-player's icon game dashboard enables earning a discount coupon prize, thereby reducing the published list-price. Prior performance (sales, coupons, . . . ) dashboards, enable each seller-merchant-player to periodically wager on time-of-day slots, to place iconized multi-media up-cross sell advertisements of product-service-activity-attraction, bidding against other seller-merchant-players, who have related product-service-activity-attraction recommendations, which said buyer-consumer-player's analytic search could have discovered.
    Each regional-provider-auctioneer's dashboard enables coordination of: (1) buyer-consumer-player's conversion-to-purchase, including a “discount coupon” transaction and (2) accounting of (a) seller-merchant-player's product-service-activity-attraction inventory and bag of advertisements and (b) buyer-consumer-player's need-wants icon shopping bag(s) and earned prize coupon bag(s).

    MACHINE LEARNING ARCHITECTURE FOR DOMAIN-SPECIFIC IMAGE SCORING

    公开(公告)号:US20250165995A1

    公开(公告)日:2025-05-22

    申请号:US18887930

    申请日:2024-09-17

    Abstract: A method includes obtaining, by one or more processors, a plurality of images, executing, by the one or more processors, a domain-specific target audience machine learning model to generate domain performance scores for the plurality of images, ranking, by the one or more processors, the plurality of images according to the domain performance scores for the plurality of images, and generating, by the one or more processors, a record comprising one or more images of the plurality of images based on the rankings of the plurality of images.

    SYSTEMS AND METHODS FOR ANONYMIZING LOCATION DATA AND DATA SHREDDING

    公开(公告)号:US20250165646A1

    公开(公告)日:2025-05-22

    申请号:US17087241

    申请日:2020-11-02

    Abstract: Systems and methods for anonymizing user data are described herein. A system for anonymizing user data includes a user device. The user device includes a network interface coupled to a processing circuit structured to display a mobile application graphical user interface depicting a field for a log-in credential. The processing circuit is further structured to receive a log-in credential of a user and cross-reference the received log-in credential to authenticate the user. The processing circuit is further configured to generate a unique value void of personally identifiable information regarding the user, determine a current location of the user, and associate the unique value with the current location to create a data packet. The processing circuit further configured to transmit the data packet to the provider computing system to quantify a number of users in a predefined area.

    DATA BRIDGE BETWEEN ANONYMOUS BROWSERS AND INTERACTIVE DEVICES

    公开(公告)号:US20250156886A1

    公开(公告)日:2025-05-15

    申请号:US18945344

    申请日:2024-11-12

    Inventor: PATRICK NUNALLY

    Abstract: Embodiments described herein provide systems and methods for correlating anonymous user data with in-person user sensor data. In some embodiments, a user interacts with a web interface which collects sensor data (e.g., video and audio) and stores that sensor data with other customer information (e.g., browsing history). The collected data is sent to a local interaction device which collects its own sensor data, which is compared to the data in the packets to correlate the in-person user with the online user, and continue the customer experience.

    Systems and methods for anonymous behavioral-based records identification

    公开(公告)号:US12299704B2

    公开(公告)日:2025-05-13

    申请号:US18362680

    申请日:2023-07-31

    Abstract: Methods, systems, and computer-readable media for identifying users, records, and/or devices using anonymous source data records associated with consumer activity are described. In general, the consumer activity may relate to consumer interactions with devices and/or content or data through devices. The source data records may be structured, such as associating the source data records with a sequential timeline. Behavioral markers may be generated by the matching system and associated with the source data records. Each behavioral marker may be analyzed across all of the source data records to determine the effectiveness of the behavioral marker to identify unique source data records. One or more of the behavioral markers may be used to generate a behavioral fingerprint. A behavioral fingerprint may be used to identify unique records, devices, and/or users, including identification based on different sets of source data records.

    System and method for machine learning based generation of media structured products

    公开(公告)号:US12299700B2

    公开(公告)日:2025-05-13

    申请号:US15972642

    申请日:2018-05-07

    Abstract: A method, computer program product, and computer system for identifying, by a computing device, event specific data of a past media program. A size of delivery of a future media program may be predicted based upon, at least in part, the event specific data of the past media program. A financial media product may be generated based upon, at least in part, the predicted size of delivery of the future media program. An actual size of delivery may be identified. A first action may be executed if the actual size of delivery is greater than the predicted size of delivery based upon, at least in part, the financial media product. A second action may be executed if the actual size of delivery is less than the predicted size of delivery based upon, at least in part, the financial media product.

    INTELLIGENT SELF-SERVE DIAGNOSTICS

    公开(公告)号:US20250148479A1

    公开(公告)日:2025-05-08

    申请号:US19014494

    申请日:2025-01-09

    Abstract: The systems and methods relate to a self-serve diagnostic experience that enables users to help themselves when issues or problems emerge with a customer workload. The systems and methods provide an interactive interface that guides users through a troubleshooting journey. Users may enter a problem with a customer workload using the interactive interface and may receive one or more insights automatically generated by one or more detectors based on an analysis of the backend telemetry data for the customer workload. The insights may provide contextual information about the issues and recommendations for steps to fix the issues. The interactive interface may also provide a visual overview of a plurality of resources, the resource dependencies, and the resource health for the plurality of resources. The systems and methods may also guide users in building one or more detectors for troubleshooting the one or more issues.

    Secure decentralized system
    9.
    发明授权

    公开(公告)号:US12293410B2

    公开(公告)日:2025-05-06

    申请号:US18331547

    申请日:2023-06-08

    Applicant: Devon Shigaki

    Inventor: Devon Shigaki

    Abstract: A node associated with an individual and/or organization receives a storage identifier for new data associated with a consumer and/or business. A node and distributed data sources are used to share the new consumer and/or business data with a network of nodes. The node updates a node with the storage identifier for the new consumer and/or business data. The node receives, from a device associated with the individual and/or organization, a request for the new data. The node obtains the storage identifier for the new data from the node. The node obtains the new data by using the storage identifier to search the distributed data sources. The node provides the new consumer and/or business data to the device. The node performs actions to obtain additional new consumer and/or business data from the distributed data sources or provide the additional new consumer and/or business data to the distributed data sources.

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