Invention Grant
- Patent Title: Machine learning from data steward feedback for data matching
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Application No.: US16263313Application Date: 2019-01-31
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Publication No.: US11010771B2Publication Date: 2021-05-18
- Inventor: Arun Kumar Jagota , Piranavan Selvanandan
- Applicant: salesforce.com, inc.
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Agency: Dergosits & Noah LLP
- Agent Todd A. Noah
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06N20/00 ; G06F16/28 ; G06K9/62

Abstract:
A system determines factored score by multiplying factor and match score for values of field in two records, offset score by adding offset to factored score, and weighted score by applying weight to offset score. The system determines status for two records based on combining weighted score with other weighted score corresponding to other field of two records. The system revises factor, offset, and weight based on feedback associated with two records. The system determines revised factored score by multiplying revised factor and match score for other values of field in two other records, revised offset score by adding revised offset to revised factored score, and revised weighted score by applying revised weight to revised offset score. The system determines learned status for two other records based on combining revised weighted score with additional weighted score corresponding to other field for two other records.
Public/Granted literature
- US20200250687A1 MACHINE LEARNING FROM DATA STEWARD FEEDBACK FOR DATA MATCHING Public/Granted day:2020-08-06
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