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Optimizing database query processes with supervised independent autonomy through a dynamically scaling matching and priority engine
Optimizing database query processes with supervised independent autonomy through a dynamically scaling matching and priority engine
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机译:通过动态缩放匹配和优先级引擎优化具有监督独立自主权的数据库查询流程
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摘要
A system and related method dynamically modify a rule-based matching system. The process comprises receiving a rule set and a source data entity (SDE), and locating a plurality of matching data entities (MDEs) by searching a data node. The process further comprises, (a) determining a best MDE from the plurality of MDEs based on an MDE score created using the rule set, (b) receiving, a binary rater assessment rating that utilizes a factor that is independent of the rule set, the rater assessment comprising a binary degree of matching, (c) when the received binary rater assessment is yes, then designating the best MDE as an accepted MDE and updating information associated with the SDE, (d) when the received binary rater assessment is no, then eliminating the best MDE from the plurality of MDEs and repeating operations (a)-(d). The rule set is revised to dynamically produce a revised rule set.
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