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MACHINE LEARNING SYSTEMS AND METHODS FOR PREDICTIVE ENGAGEMENT
MACHINE LEARNING SYSTEMS AND METHODS FOR PREDICTIVE ENGAGEMENT
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机译:用于预测接触的机器学习系统和方法
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摘要
A machine learning (ML) process can include teaching, with a teaching set, a first ML algorithm to generate one or more machine -predicted results. One or more weights can be generated based on the one or more machine-predicted results and the teaching set. A second ML algorithm can be generated based on the one or more weights. Via the second ML algorithm, one or more machine-learned results can be generated. A description of one or more candidates can be received. Based on the one or more machine-learned results, a respective likelihood of interest in a CCG class of positions for each of the one or more candidates can be generated. A respective communication can be transmitted to each of a subset of the one or more candidates open to the respective likelihood of interest in the CCG class of positions for the subset above a threshold.
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