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公开(公告)号：US20200334434A1
公开(公告)日：2020-10-22
申请号：US16388270
申请日：2019-04-18
申请人： PAYPAL, INC.
发明人： Remo Antony Raymond , Yash Bansal
摘要： Methods and systems for using machine learning to determine an origin of an alphanumeric code are presented. The code is analyzed to determine a set of characteristics based on the values and the types of values within the code. The code and the set of characteristics may then be embedded into an image. To embed the code and the set of characteristics into an image, each of the code and the set of characteristics may be converted into a corresponding set of pixel values. The pixel values may then be combined to form the pixels in the image. The image is provided to a machine learning model as input. The machine learning model is configured to use the image to determine at least one entity that is associated with the code.
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公开(公告)号：US10956698B2
公开(公告)日：2021-03-23
申请号：US16388270
申请日：2019-04-18
申请人： PAYPAL, INC.
发明人： Remo Antony Raymond , Yash Bansal
摘要： Methods and systems for using machine learning to determine an origin of an alphanumeric code are presented. The code is analyzed to determine a set of characteristics based on the values and the types of values within the code. The code and the set of characteristics may then be embedded into an image. To embed the code and the set of characteristics into an image, each of the code and the set of characteristics may be converted into a corresponding set of pixel values. The pixel values may then be combined to form the pixels in the image. The image is provided to a machine learning model as input. The machine learning model is configured to use the image to determine at least one entity that is associated with the code.
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公开(公告)号：US11593449B1
公开(公告)日：2023-02-28
申请号：US17393941
申请日：2021-08-04
申请人： PAYPAL, INC.
发明人： Yash Bansal
IPC分类号： G06F16/904 , G06F16/957 , G06F3/0482 , G06F40/14 , G06F16/954
摘要： There are provided systems and methods for reducing computing calls for webpage load times and resources to reduce power usage and/or carbon footprints caused by repetitive navigations. A service provider, such as an online transaction processor, may provide computing services to users, which require computing devices of the users to interact with the service provider and load data on the computing devices, including webpages and application interfaces. Each of data loading event may have a cost, where repeating events may lead to unnecessary power usage, carbon emissions and/or a carbon footprint. A graph algorithmic process may utilize state diagrams of processing flows for data loading events with attributes for each data loading event to identify problematic repeated events. Once the problematic events are identified, the service provider may identify corrective actions to avoid or reduce the repetitive events, such as by merging data into one or more events.
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公开(公告)号：US20230042767A1
公开(公告)日：2023-02-09
申请号：US17393941
申请日：2021-08-04
申请人： PAYPAL, INC.
发明人： Yash Bansal
IPC分类号： G06F16/957 , G06F16/954 , G06F40/14 , G06F3/0482
摘要： There are provided systems and methods for reducing computing calls for webpage load times and resources to reduce power usage and/or carbon footprints caused by repetitive navigations. A service provider, such as an online transaction processor, may provide computing services to users, which require computing devices of the users to interact with the service provider and load data on the computing devices, including webpages and application interfaces. Each of data loading event may have a cost, where repeating events may lead to unnecessary power usage, carbon emissions and/or a carbon footprint. A graph algorithmic process may utilize state diagrams of processing flows for data loading events with attributes for each data loading event to identify problematic repeated events. Once the problematic events are identified, the service provider may identify corrective actions to avoid or reduce the repetitive events, such as by merging data into one or more events.
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