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公开(公告)号：US11720601B2
公开(公告)日：2023-08-08
申请号：US16920189
申请日：2020-07-02
Applicant: SAP SE
Inventor： Mengyuan Tao , Vishal Narender Punjabi , David Herman
CPC classification number: G06F16/285 , G06N20/00
Abstract: Systems and methods are provided for accessing master data comprising a plurality of representative data records, where each representative data record represents a cluster of similar data records, and each similar data record has a confidence score indicating a confidence level that the similar data record corresponds to the cluster, and comparing a new data record to each representative data record of the plurality of representative data records using a machine learning model to generate a distance score. The systems and methods further provide for analyzing the cluster of similar data records corresponding to each representative data record in a selected set of representative data records to generate candidate values for the requested data field of the new data record, and generating a candidate score for each of the candidate values using the distance score and the confidence score to use in providing a recommended candidate value.
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公开(公告)号：US20220004567A1
公开(公告)日：2022-01-06
申请号：US16920189
申请日：2020-07-02
Applicant: SAP SE
Inventor： Mengyuan Tao , Vishal Narender Punjabi , David Herman
Abstract: Systems and methods are provided for accessing master data comprising a plurality of representative data records, where each representative data record represents a cluster of similar data records, and each similar data record has a confidence score indicating a confidence level that the similar data record corresponds to the cluster, and comparing a new data record to each representative data record of the plurality of representative data records using a machine learning model to generate a distance score. The systems and methods further provide for analyzing the cluster of similar data records corresponding to each representative data record in a selected set of representative data records to generate candidate values for the requested data field of the new data record, and generating a candidate score for each of the candidate values using the distance score and the confidence score to use in providing a recommended candidate value.
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