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USING MACHINE LEARNING TO DETERMINE JOB FAMILIES USING JOB TITLES

机译:使用机器学习来使用职位标题确定作业家庭

摘要

A system and method are disclosed for training a machine learning model using information pertaining to job titles. Training data for the machine learning model is generated. Generating the training data includes generating first training input including information identifying the job titles associated with organizations, and generating a first target output for the first training input. The first target output identifies an indication of job families. A job family identifies a category of personnel positions that are categorized based on one or more characteristics that are shared between the personnel positions of the category. The training data to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including the first target output is provided.
机译:公开了一种用于使用与职位标题有关的信息训练机器学习模型的系统和方法。 生成机器学习模型的培训数据。 生成训练数据包括生成第一训练输入,包括识别与组织相关联的作业标题的信息,并为第一训练输入生成第一目标输出。 第一个目标输出标识了作业系列的指示。 作业系列识别了基于在类别人事职位之间共享的一个或多个特征来分类的人员职位类别。 培训机器学习模型的训练数据(i)一组训练输入包括第一训练输入,(ii)提供包括第一目标输出的一组目标输出。

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