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JOB APPLICANT QUALITY MODEL

机译:求职者质量模型

摘要

A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for Candidate Predictor Engine (“C.P. Engine”) instantiates data structure(s) modeled according to a plurality of job candidate predictor decision trees. The C.P. Engine encodes data representing a job candidate context feature set based on an attribute(s) of a target candidate account and an attribute(s) of a job posting. The C.P. Engine filters each respective feature from the job candidate context feature set through a job candidate predictor decision tree that corresponds to a same job candidate context feature type as the respective feature. The C.P. Engine generates prediction output based on each result of filtering through the job candidate predictor decision trees. The prediction output indicates a likelihood of the target candidate account being qualified for the job posting.
机译:本文描述了用于候选预测器引擎(“ C.P.引擎”)实例化根据多个候选工作预测器决策树建模的数据结构的系统,存储指令的机器可读存储介质以及计算机实施的方法。 C.P.引擎基于目标候选帐户的属性和职位发布的属性对表示求职者上下文特征集的数据进行编码。 C.P.引擎从求职者上下文特征集中通过与对应于与各个特征相同的求职者上下文特征类型相对应的求职者预测决策树来过滤每个相应特征。 C.P.引擎基于通过求职者预测变量决策树进行过滤的每个结果,生成预测输出。预测输出指示目标候选人帐户符合职位发布资格的可能性。

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