公开(公告)号：US11250088B2

公开(公告)日：2022-02-15

申请号：US17222968

申请日：2021-04-05

Applicant: Advanced New Technologies Co., Ltd.

Inventor： Xiaofu Chang ,  Jianfeng Wen ,  Xuqin Liu ,  Le Song ,  Yuan Qi

IPC: G06F16/90 ,  G06F16/9536 ,  G06F16/901

Abstract: Computer-implemented methods, computer-implemented systems, and non-transitory, computer-readable media for processing interaction sequence data are disclosed. One computer-implemented method includes: obtaining a dynamic interaction graph is obtained, where the dynamic interaction graph is constructed based on a dynamic interaction sequence, including a plurality of interactions arranged in a chronological order, where each interaction includes two objects involved in the interaction and a time of the interaction. In the dynamic interaction graph, a sub-graph corresponding to a target node is determined, where nodes in the sub-graph comprise the target node and connection nodes connected to the target node through a predetermined amount of edges originating from the target node. A feature vector corresponding to the target node is determined based on a node feature of each of the nodes of the sub-graph and directions of edges of the sub-graph.

公开(公告)号：US11386166B2

公开(公告)日：2022-07-12

申请号：US16438917

申请日：2019-06-12

Applicant: Advanced New Technologies Co., Ltd.

Inventor： Kaisheng Yao ,  Peng Xu ,  Yuan Qi ,  Xiaofu Chang

IPC: G06F16/00 ,  G06F16/909 ,  G06F16/955 ,  G06F16/29 ,  G06K9/62 ,  H04W4/02 ,  H04L67/52 ,  G06F9/451 ,  G06F16/9537 ,  G06F16/957 ,  H04L67/51

Abstract: Data storage and calling methods and devices are provided. One of the methods includes: receiving first motion data and business data; establishing an association relationship between the first motion data and the business data and storing the association relationship; receiving second motion data; and determining first motion data that matches the second motion data, and returning, to a sender of the second motion data, business data associated with the matched first motion data.

公开(公告)号：US11334632B2

公开(公告)日：2022-05-17

申请号：US16774629

申请日：2020-01-28

Applicant: Advanced New Technologies Co., Ltd.

Inventor： Kaisheng Yao ,  Peng Xu ,  Yuan Qi ,  Xiaofu Chang

IPC: G06F16/909 ,  G06F16/955 ,  G06F16/29 ,  G06K9/62 ,  H04W4/02 ,  H04L67/52 ,  G06F9/451 ,  G06F16/9537 ,  G06F16/957 ,  H04L67/51

Abstract: Data storage and calling methods and devices are provided. One of the methods includes: receiving first motion data and business data; establishing an association relationship between the first motion data and the business data and storing the association relationship; receiving second motion data; and determining first motion data that matches the second motion data, and returning, to a sender of the second motion data, business data associated with the matched first motion data.

公开(公告)号：US20210224347A1

公开(公告)日：2021-07-22

申请号：US17222968

申请日：2021-04-05

Applicant: Advanced New Technologies Co., Ltd.

Inventor： Xiaofu Chang ,  Jianfeng Wen ,  Xuqin Liu ,  Le Song ,  Yuan Qi

IPC: G06F16/9536 ,  G06F16/901

Abstract: Computer-implemented methods, computer-implemented systems, and non-transitory, computer-readable media for processing interaction sequence data are disclosed. One computer-implemented method includes: obtaining a dynamic interaction graph is obtained, where the dynamic interaction graph is constructed based on a dynamic interaction sequence, including a plurality of interactions arranged in a chronological order, where each interaction includes two objects involved in the interaction and a time of the interaction. In the dynamic interaction graph, a sub-graph corresponding to a target node is determined, where nodes in the sub-graph comprise the target node and connection nodes connected to the target node through a predetermined amount of edges originating from the target node. A feature vector corresponding to the target node is determined based on a node feature of each of the nodes of the sub-graph and directions of edges of the sub-graph.

公开(公告)号：US10970350B2

公开(公告)日：2021-04-06

申请号：US16813627

申请日：2020-03-09

Applicant: Advanced New Technologies Co., Ltd.

Inventor： Xiaofu Chang ,  Jianfeng Wen ,  Xuqin Liu ,  Le Song ,  Yuan Qi

IPC: G06F16/90 ,  G06F16/9536 ,  G06F16/901

Abstract: Computer-implemented methods, computer-implemented systems, and non-transitory, computer-readable media for processing interaction sequence data are disclosed. One computer-implemented method includes: obtaining a dynamic interaction graph is obtained, where the dynamic interaction graph is constructed based on a dynamic interaction sequence, including a plurality of interactions arranged in a chronological order, where each interaction includes two objects involved in the interaction and a time of the interaction. In the dynamic interaction graph, a sub-graph corresponding to a target node is determined, where nodes in the sub-graph comprise the target node and connection nodes connected to the target node through a predetermined amount of edges originating from the target node. A feature vector corresponding to the target node is determined based on a node feature of each of the nodes of the sub-graph and directions of edges of the sub-graph.

公开(公告)号：US20210049225A1

公开(公告)日：2021-02-18

申请号：US16813627

申请日：2020-03-09

Applicant: Advanced New Technologies Co., Ltd.

Inventor： Xiaofu Chang ,  Jianfeng Wen ,  Xuqin Liu ,  Le Song ,  Yuan Qi

IPC: G06F16/9536 ,  G06N3/04 ,  G06K9/62 ,  G06F16/901

Abstract: Computer-implemented methods, computer-implemented systems, and non-transitory, computer-readable media for processing interaction sequence data are disclosed. One computer-implemented method includes: obtaining a dynamic interaction graph is obtained, where the dynamic interaction graph is constructed based on a dynamic interaction sequence, including a plurality of interactions arranged in a chronological order, where each interaction includes two objects involved in the interaction and a time of the interaction. In the dynamic interaction graph, a sub-graph corresponding to a target node is determined, where nodes in the sub-graph comprise the target node and connection nodes connected to the target node through a predetermined amount of edges originating from the target node. A feature vector corresponding to the target node is determined based on a node feature of each of the nodes of the sub-graph and directions of edges of the sub-graph.