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    • 6. 发明授权
    • System and method for routing a trading order based upon quantity
    • US12051112B2
    • 2024-07-30
    • US18131441
    • 2023-04-06
    • BGC PARTNERS, INC.
    • Matthew W. ClausJoseph C. Noviello
    • G06Q40/04G06Q40/00G06F3/048
    • G06Q40/04G06Q40/00G06F3/048
    • An apparatus for routing trading orders comprises a memory and a processor. The memory stores first trading information associated with a first buy order placed with a first market center. The first buy order is associated with a product and the first trading information comprises a disclosed quantity of the product and a reserved quantity of the product. The memory also stores second trading information associated with a second buy order placed with a second market center. The second buy order is associated with the product and the second trading information comprises a disclosed quantity of the product and a reserved quantity of the product. The processor is coupled to the memory and receives a sell order associated with a quantity of the product. The processor further cancels at least a portion of the second buy order placed with the second market center for placement with the first market center. The canceled portion of the second buy order is determined based at least in part upon the second trading information. The processor further routes at least one additional sell order to the first market center having a quantity that is based upon at least one of the first trading information and the canceled portion of the second buy order.
    • 8. 发明授权
    • Configurable machine learning systems through graphical user interfaces
    • US12039177B2
    • 2024-07-16
    • US17836928
    • 2022-06-09
    • Coupa Software Incorporated
    • Shuvro BiswasPaddy LawtonYutaka Hosoai
    • G06F3/048G06F3/06G06F16/17G06N20/00
    • G06F3/0629G06F3/048G06F16/17G06N20/00
    • 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.