- 专利标题: Machine learning based duplicate invoice detection
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申请号: US17971832申请日: 2022-10-24
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公开(公告)号: US12045215B2公开(公告)日: 2024-07-23
- 发明人: Akash Baviskar , Krishnan Ramanathan
- 申请人: Oracle International Corporation
- 申请人地址: US CA Redwood Shores
- 专利权人: Oracle Internatio nal Corporation
- 当前专利权人: Oracle Internatio nal Corporation
- 当前专利权人地址: US CA Redwood Shores
- 代理机构: Potomac Law Group, PLLC
- 主分类号: G06F16/215
- IPC分类号: G06F16/215 ; G06F3/06 ; G06N20/20
摘要:
Embodiments detect duplicate invoices, each invoice including a plurality of fields. Embodiments generate synthetic training data using a plurality of training invoices and generating one or more modified fields for each of the plurality of training invoices. Embodiments train a machine learning model using the synthetic training data and generate a plurality of candidate invoice pairs. Embodiments input the plurality of candidate invoice pairs to the trained machine learning model and generate, by the trained machine learning model, a prediction of whether each of the candidate invoices pairs is a duplicate invoice pair.
公开/授权文献
- US20240232150A9 Machine Learning Based Duplicate Invoice Detection 公开/授权日:2024-07-11
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