Machine learning model training from manual decisions
AssigneeInternational Business Machines Corporation
InventorsLars Bremer, Hemanth Kumar Babu, Thuany Karoline Stuart, Martin Oberhofer
Life of this patent
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Abstract
In an approach to improving machine learning model training for data matching from manual decisions, one or more computer processors detect a correction made to two data records. One or more computer processors determine a common attribute between the two data records. One or more computer processors identify a first machine learning model associated with the common attribute. One or more computer processors add comparison data of the two data records to training data for the machine learning model, where the comparison data includes the correction.
Claims20
A method comprising:
- detecting, by one or more computer processors, a correction made to two data records;
- determining, by one or more computer processors, a common attribute between the two data records;
- identifying, by one or more computer processors, a first machine learning model associated with the common attribute;
- and
- adding, by one or more computer processors, comparison data of the two data records to training data for the machine learning model, wherein the comparison data includes the correction.
A computer program product comprising:
- one or more computer readable storage media and program instructions collectively stored on the one or more computer readable storage media, the stored program instructions comprising:
- program instructions to detect a correction made to two data records;
- program instructions to determine a common attribute between the two data records;
- program instructions to identify a first machine learning model associated with the common attribute;
- and
- program instructions to add comparison data of the two data records to training data for the machine learning model, wherein the comparison data includes the correction.
A computer system comprising:
- one or more computer processors;
- one or more computer readable storage media;
- program instructions collectively stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the stored program instructions comprising:
- program instructions to detect a correction made to two data records;
- program instructions to determine a common attribute between the two data records;
- program instructions to identify a first machine learning model associated with the common attribute;
- and
- program instructions to add comparison data of the two data records to training data for the machine learning model, wherein the comparison data includes the correction.
Dependencies are inferred from the claim text.