- 专利标题: TIME SERIES PREDICTIVE MODEL FOR ESTIMATING METRIC FOR A GIVEN ENTITY
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申请号: US18275598申请日: 2022-02-01
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公开(公告)号: US20240127035A1公开(公告)日: 2024-04-18
- 发明人: Michael Yeh , Zhongfang Zhuang , Junpeng Wang , Yan Zheng , Javid Ebrahimi , Liang Wang , Wei Zhang
- 申请人: VISA INTERNATIONAL SERVICE ASSOCIATION
- 申请人地址: US CA SAN FRANCISCO
- 专利权人: VISA INTERNATIONAL SERVICE ASSOCIATION
- 当前专利权人: VISA INTERNATIONAL SERVICE ASSOCIATION
- 当前专利权人地址: US CA SAN FRANCISCO
- 国际申请: PCT/US2022/014795 2022.02.01
- 进入国家日期: 2023-08-02
- 主分类号: G06N3/0455
- IPC分类号: G06N3/0455
摘要:
A method performed by a computer is disclosed. The method comprises receiving interaction data between electronic devices of a plurality of entities. The interaction data is used to form an entity interaction vector containing a number of interactions between the electronic devices of a chosen entity and an entity time series containing a plurality of metrics per unit time of the interactions. An interaction encoder of the computer can generate an interaction hidden representation of the entity interaction vector using embeddings of the plurality of entities. A temporal encoder of the computer can generate a temporal hidden representation of the entity time series. The interaction hidden representation and the temporal hidden representation can be used to generate a predicted scale and a shape estimation of a target interaction metric. The computer can then generate an estimated interaction metric of a time period using the predicted scale and the shape estimation.
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