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    • 1. 发明授权
    • Security alerts in supplier transactions
    • US12125037B1
    • 2024-10-22
    • US17566753
    • 2021-12-31
    • COUPA SOFTWARE INCORPORATED
    • Ahmad SadeddinRajiv RamachandranAnju GuptaChristopher NicholsonAngela WelchelRohit JalisatgiBrent Knott
    • G06Q20/40
    • G06Q20/4016G06Q20/405G06Q2220/00
    • In one embodiment, a computer-implemented method comprises, using an e-procurement platform instance that is programmed to host thousands of user accounts that are associated with a plurality of different entities, receiving, from a buyer computer, supplier payment account data for a dataset representing a payment to a supplier; creating a cryptographically secure fingerprint based on the supplier payment account data; using the fingerprint and at least a portion of the supplier payment account data, programmatically transmitting a structured database query to a digital data repository, the digital data repository comprising at least hundreds of thousands of records of transactions that included other datasets representing other payments; in response to the querying, receiving a result set of a plurality of supplier payment datasets, based on the records of transactions, the supplier payment datasets representing past submissions of payments to the same supplier payment account that the fingerprint represents; based on the result set and a plurality of programmatic rules, calculating one or more notification metrics and selecting a notification from among a plurality of programmed notifications and transmitting, to the buyer computer, presentation instructions which when rendered using the buyer computer cause displaying the one or more notification metrics and a notification text.
    • 10. 发明申请
    • CONFIGURABLE MACHINE LEARNING SYSTEMS THROUGH GRAPHICAL USER INTERFACES
    • US20220300177A1
    • 2022-09-22
    • US17836928
    • 2022-06-09
    • Coupa Software Incorporated
    • Shuvro BiswasPaddy LawtonYutaka Hosoai
    • G06F3/06G06F3/048G06N20/00G06F16/17
    • Systems and methods for presenting configurable machine learning systems through graphical user interfaces are disclosed. In an embodiment, a machine learning server computer stores one or more machine learning configuration files. A particular machine learning configuration file of the one or more machine learning configuration files comprises instructions for configuring a machine learning system of a particular machine learning type with one or more first machine learning parameters. The machine learning server computer displays through a graphical user interface, a plurality of selectable parameter options, each of which defining a value for a machine learning parameter. The machine learning server computer receives a particular input dataset. The machine learning server computer additionally receives, through the graphical user interface, a selection of one or more selectable parameter options corresponding to one or more second machine learning parameters different from the one or more first machine learning parameters. The machine learning server computer replaces in the particular machine learning configuration file, the one or more first machine learning parameters with the one or more second machine learning parameters. Using the particular machine learning configuration file, the machine learning server computer configures a particular machine learning system. Using the particular machine learning system and the particular input dataset, the machine learning server computer computes a particular output dataset.