- 专利标题： SCALABLE ENTITY MATCHING WITH FILTERING USING LEARNED EMBEDDINGS AND APPROXIMATE NEAREST NEIGHBOURHOOD SEARCH
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申请号： US17817388申请日： 2022-08-04
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公开(公告)号： US20240045890A1公开(公告)日： 2024-02-08
- 发明人: Hoang-Vu Nguyen , Li Rong Wang , Matthias Frank , Rajesh Vellore Arumugam , Stefan Klaus Baur , Sundeep Gullapudi
- 申请人： SAP SE
- 申请人地址： DE Walldorf
- 专利权人： SAP SE
- 当前专利权人： SAP SE
- 当前专利权人地址： DE Walldorf
- 主分类号： G06F16/28
- IPC分类号： G06F16/28 ; G06N20/00 ; G06F16/2457 ; G06K9/62
摘要：
Methods, systems, and computer-readable storage media for a machine learning (ML) system for matching a query entity to one or more target entities, the ML system that reducing a number of query-target entity pairs from consideration as potential matches during inference.
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