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公开(公告)号：US11255690B2
公开(公告)日：2022-02-22
申请号：US17080357
申请日：2020-10-26
Applicant: Advanced New Technologies Co., Ltd.
Inventor： Guanhai Zhong , Hui Li
IPC: G06F7/00 , G01C21/36 , G06F16/29 , G06F16/00 , G06F40/279 , G06F40/289
Abstract: A plurality of abbreviated names are generated for evaluation based on a full name of a point-of-interest (POI) on a map. A plurality of address names comprising the full name of the POI or any of the abbreviated names to be evaluated are obtained from a predetermined area of the POI. A phrase status vector used to indicate a location status of the target phrase in each particular address name is calculated for a target phrase based on each address name, the target phrase including the full name of the POI or any of the abbreviated names to be evaluated. A similarity is calculated between a phrase status vector for the full name of the POI and a phrase status vector. A particular abbreviated name corresponding with a calculated similarity greater than a predetermined threshold is associated with the full name of the POI corresponding to the calculated similarity.
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公开(公告)号：US11102230B2
公开(公告)日：2021-08-24
申请号：US16809308
申请日：2020-03-04
Applicant: Advanced New Technologies Co., Ltd.
Inventor： Le Song , Hui Li , Zhibang Ge , Xin Huang , Chunyang Wen , Lin Wang , Tao Jiang , Yiguang Wang , Xiaofu Chang , Guanyin Zhu
Abstract: A graphical structure model trained with labeled samples is obtained. The graphical structure model is defined based on an account relationship network that comprises a plurality of nodes and edges. The edges correspond to relationships between adjacent nodes. Each labeled sample comprises a label indicating whether a corresponding node is an abnormal node. The graphical structure model is configured to iteratively calculate, for at least one node of the plurality of nodes, an embedding vector in a hidden feature space based on an original feature of the least one node and/or a feature of an edge associated with the at least one node. A first embedding vector that corresponds to a to-be-tested sample is calculated using the graphical structure model. Abnormal account prevention and control is performed on the to-be-tested sample based on the first embedding vector.
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公开(公告)号：US11526766B2
公开(公告)日：2022-12-13
申请号：US16805387
申请日：2020-02-28
Applicant: Advanced New Technologies Co., Ltd.
Inventor： Le Song , Hui Li , Zhibang Ge , Xin Huang , Chunyang Wen , Lin Wang , Tao Jiang , Yiguang Wang , Xiaofu Chang , Guanyin Zhu
Abstract: One or more implementations of the present specification provide risk control of transactions based on a graphical structure model. A graphical structure model trained by using labeled samples is obtained. The graphical structure model is defined based on a transaction data network that includes nodes representing entities in a transaction and edges representing relationships between the entities. Each labeled sample includes a label indicating whether a node corresponding to the labeled sample is a risky transaction node. The graphical structure model is configured to iteratively calculate an embedding vector of the node in a latent feature space based on an original feature of the node or a feature of an edge associated with the node. An embedding vector of an input sample is calculated by using the graphical structure model. Transaction risk control is performed on the input sample based on the embedding vector.
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公开(公告)号：US10904707B2
公开(公告)日：2021-01-26
申请号：US16579335
申请日：2019-09-23
Applicant: Advanced New Technologies Co., Ltd.
Inventor： Guanhai Zhong , Hui Li
IPC: H04W4/029 , G06F16/901 , H04L29/08 , H04W4/021 , H04W4/02
Abstract: A request is received for a service from an application of a mobile computing device. A latitude and a longitude of a geographic location associated with the mobile computing device is determined. The geographic location is mapped to a corresponding location on an embedded map associated with the application, where the embedded map is divided into a plurality of level 1 grids. A level 1 grid is determined in which the corresponding location is located. A granularity corresponding to a geographic distance is determined. The granularity is converted into a corresponding step size on the embedded map. The level 1 grid is divided into a plurality of level 2 grids based on the corresponding step size.
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Patent Agency Ranking
公开(公告)号：US11223644B2
公开(公告)日：2022-01-11
申请号：US17231693
申请日：2021-04-15
Applicant: Advanced New Technologies Co., Ltd.
Inventor： Le Song , Hui Li , Zhibang Ge , Xin Huang , Chunyang Wen , Lin Wang , Tao Jiang , Yiguang Wang , Xiaofu Chang , Guanyin Zhu
Abstract: A graphical structure model trained with labeled samples is obtained. The graphical structure model is defined based on an account relationship network that comprises a plurality of nodes and edges. The edges correspond to relationships between adjacent nodes. Each labeled sample comprises a label indicating whether a corresponding node is an abnormal node. The graphical structure model is configured to iteratively calculate, for at least one node of the plurality of nodes, an embedding vector in a hidden feature space based on an original feature of the least one node and/or a feature of an edge associated with the at least one node. A first embedding vector that corresponds to a to-be-tested sample is calculated using the graphical structure model. Abnormal account prevention and control is performed on the to-be-tested sample based on the first embedding vector.
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公开(公告)号：US20210234881A1
公开(公告)日：2021-07-29
申请号：US17231693
申请日：2021-04-15
Applicant: Advanced New Technologies Co., Ltd.
Inventor： Le Song , Hui Li , Zhibang Ge , Xin Huang , Chunyang Wen , Lin Wang , Tao Jiang , Yiguang Wang , Xiaofu Chang , Guanyin Zhu
Abstract: A graphical structure model trained with labeled samples is obtained. The graphical structure model is defined based on an account relationship network that comprises a plurality of nodes and edges. The edges correspond to relationships between adjacent nodes. Each labeled sample comprises a label indicating whether a corresponding node is an abnormal node. The graphical structure model is configured to iteratively calculate, for at least one node of the plurality of nodes, an embedding vector in a hidden feature space based on an original feature of the least one node and/or a feature of an edge associated with the at least one node. A first embedding vector that corresponds to a to-be-tested sample is calculated using the graphical structure model. Abnormal account prevention and control is performed on the to-be-tested sample based on the first embedding vector.
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公开(公告)号：US11526936B2
公开(公告)日：2022-12-13
申请号：US16805538
申请日：2020-02-28
Applicant: Advanced New Technologies Co., Ltd.
Inventor： Le Song , Hui Li , Zhibang Ge , Xin Huang , Chunyang Wen , Lin Wang , Tao Jiang , Yiguang Wang , Xiaofu Chang , Guanyin Zhu
Abstract: A graphical structure model trained by using labeled samples is obtained. The graphical structure model is defined based on an enterprise relationship network that includes nodes and edges. Each labeled sample includes a label indicating whether a corresponding node is a risky credit node. The graphical structure model is configured to iteratively calculate an embedding vector of at least one node in a hidden feature space based on an original feature of the at least one node and/or a feature of an edge associated with the at least one node. An embedding vector corresponding to a test-sample is calculated by using the graphical structure model. Credit risk analysis is performed on the test-sample. The credit risk analysis is performed based on a feature of the test-sample represented in the embedding vector. A node corresponding to the test-sample is labeled as a credit risk node.
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公开(公告)号：US10936636B2
公开(公告)日：2021-03-02
申请号：US15643963
申请日：2017-07-07
Applicant: Advanced New Technologies Co., Ltd.
Inventor： Hui Li , Guanhai Zhong , Yingping Cao
IPC: G06F16/00 , G06F16/33 , G06F16/335 , H04L29/08
Abstract: Textual information related to user information from user service information is identified. A layered matching is performed on the textual information based on preset background identification information in a preset list, wherein the layered matching includes different matching methods, and the preset list includes a plurality of entries storing different preset background identification information related to the user information. The user information is determined based on the layered matching.
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公开(公告)号：US20210055124A1
公开(公告)日：2021-02-25
申请号：US17080357
申请日：2020-10-26
Applicant: Advanced New Technologies Co., Ltd.
Inventor： Guanhai Zhong , Hui Li
IPC: G01C21/36 , G06F16/29 , G06F16/00 , G06F40/279 , G06F40/289
Abstract: A plurality of abbreviated names are generated for evaluation based on a full name of a point-of-interest (POI) on a map. A plurality of address names comprising the full name of the POI or any of the abbreviated names to be evaluated are obtained from a predetermined area of the POI. A phrase status vector used to indicate a location status of the target phrase in each particular address name is calculated for a target phrase based on each address name, the target phrase including the full name of the POI or any of the abbreviated names to be evaluated. A similarity is calculated between a phrase status vector for the full name of the POI and a phrase status vector. A particular abbreviated name corresponding with a calculated similarity greater than a predetermined threshold is associated with the full name of the POI corresponding to the calculated similarity.
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