-
公开(公告)号：US20230403268A1
公开(公告)日：2023-12-14
申请号：US17824539
申请日：2022-05-25
申请人： PAYPAL, INC.
IPC分类号： H04L9/40 , G06F16/532 , G06V40/16
CPC分类号： H04L63/0861 , G06V40/172 , G06V40/161 , G06F16/532
摘要： Methods and systems are presented for performing comprehensive and accurate matching of user accounts with one or more known entities based on image-linking graphs. Images related to each known entity are retrieved from one or more online sources. Faces are extracted from the images. Based on attributes of the faces in the images, an image-linking graph is generated for the entity. When a user account is determined to be a potential match for the entity based on text-based attributes, an image associated with the account may be obtained. If the image matches with any one of the faces in the image-linking graph, an action is performed to the user account based on a position of the matched face in the image-linking graph.
-
公开(公告)号：US12132727B2
公开(公告)日：2024-10-29
申请号：US17824539
申请日：2022-05-25
申请人： PAYPAL, INC.
IPC分类号： H04L9/40 , G06F16/532 , G06V40/16
CPC分类号： H04L63/0861 , G06F16/532 , G06V40/161 , G06V40/172
摘要： Methods and systems are presented for performing comprehensive and accurate matching of user accounts with one or more known entities based on image-linking graphs. Images related to each known entity are retrieved from one or more online sources. Faces are extracted from the images. Based on attributes of the faces in the images, an image-linking graph is generated for the entity. When a user account is determined to be a potential match for the entity based on text-based attributes, an image associated with the account may be obtained. If the image matches with any one of the faces in the image-linking graph, an action is performed to the user account based on a position of the matched face in the image-linking graph.
-
公开(公告)号：US20230274126A1
公开(公告)日：2023-08-31
申请号：US17682953
申请日：2022-02-28
申请人： PayPal, Inc.
CPC分类号： G06N3/0445 , G06N3/08 , G06K9/6223 , G06K9/6256 , G06F40/20
摘要： A plurality of first entities have been previously associated with a predefined activity. By performing a clustering algorithm on the first entities, a subset of the first entities is identified that have met a predefined criterion. Via a Natural Language Processing (NLP) technique, a multi-dimensional matrix is generated. The matrix has a plurality of vectors associated with attributes of the subset of the first entities. A neural network model is trained with the multi-dimensional matrix. A plurality of second entities are on a list that contains entities that have been flagged for engaging in, or having engaged, the predefined activity. Based on the trained neural network model, a prediction is made whether scanning the second entities against a plurality of third entities for matches will cause a number of alerts having a predefined characteristic to exceed a predefined threshold. The alerts correspond to matches that needs further investigation.
-
4.发明授权公开(公告)号：US11593676B2
公开(公告)日：2023-02-28
申请号：US16704025
申请日：2019-12-05
申请人： PayPal, Inc.
发明人： Ramnarayan Vijapur Gopinath Rao , Rajkumar Baskaran , Venkatesh J. Ramesh , Suresh Kumar Durairaj , Kartik Srikantan
摘要： Systems and methods that determining a solution for a real-time message are provided. Multiple messages of different types are received from multiple platforms. The messages were generated in response to errors caused by applications monitored by the platforms. For each message, a language processing system determines the content of the message and the machine learning system determines a classification of the message. The set of message candidates are generated by comparing the classification and the content of the message to historical messages. From the set of message candidates, solution messages are identified. A recommended solution is determined from the solution messages.
-
-
-
搜索结果
4 条记录 (耗时 0.012 秒)
