Invention Grant
- Patent Title: Machine learning integration for a dynamically scaling matching and prioritization engine
-
Application No.: US17302241Application Date: 2021-04-28
-
Publication No.: US11620538B1Publication Date: 2023-04-04
- Inventor: Adam Sanders , Christopher Shain
- Applicant: Wells Fargo Bank, N.A.
- Applicant Address: US CA San Francisco
- Assignee: Wells Fargo Bank, N.A.
- Current Assignee: Wells Fargo Bank, N.A.
- Current Assignee Address: US CA San Francisco
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F16/9535
- IPC: G06F16/9535 ; G06F16/2455 ; G06N20/00 ; G06F16/907 ; G06F16/35 ; G06F16/2457 ; G06F16/28 ; G06N5/022 ; G06F17/18

Abstract:
A system and related method are provided for dynamically modifying a rule-based matching system. A processor receives a source data entity, and then locates a matching data entity by a search based on the source data entity and a rule set. A rater assessment is provided by a rater that utilizes at least one factor that is independent of the rule set and comprises a degree of matching between the source and matching data entity. A revised rule set is dynamically created based on an output of the analyzer, which in turn is based on the source data entity, the matching data entity, the rater assessment, and the rule set. Once this is complete, a second matching data entity is located by searching for the second matching data entity based on the source data entity and the revised rule set.
Information query