- 专利标题: Computer-Based Systems for Data Entity Matching Detection Based on Latent Similarities in Large Datasets and Methods of Use Thereof
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申请号: US17160889申请日: 2021-01-28
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公开(公告)号: US20210248149A1公开(公告)日: 2021-08-12
- 发明人: Arpan Somani , Salil Rajeev Joshi , Shourya Roy
- 申请人: American Express Travel Related Services Company, Inc.
- 申请人地址: US NY New York
- 专利权人: American Express Travel Related Services Company, Inc.
- 当前专利权人: American Express Travel Related Services Company, Inc.
- 当前专利权人地址: US NY New York
- 优先权: IN202041006056 20200212
- 主分类号: G06F16/2457
- IPC分类号: G06F16/2457 ; G06N20/20 ; G06F16/22 ; G06F40/284 ; G06F40/30
摘要:
At least some embodiments are directed to an entity matching detection system. The entity matching detection system includes a latent similarity identification machine learning model that receives one or more data records and generates a final similarity score indicative of a latent similarity between the one or more data records and a second data record. The entity matching detection system can identify lexical and semantic similarities between attribute values and can analyze and compute similarity scores for direct-linked attribute values and cross-linked attribute values extracted from different data records.
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