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SYSTEMS AND METHODS TO IDENTIFY RESUMES BASED ON STAGED MACHINE LEARNING MODELS
SYSTEMS AND METHODS TO IDENTIFY RESUMES BASED ON STAGED MACHINE LEARNING MODELS
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机译:基于分段机器学习模型的简历识别系统和方法
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摘要
Systems, methods, and non-transitory computer readable media are configured to generate a relevance score for each resume of a plurality of resumes associated with job candidates based on one or more machine learning models in a first stage associated with a job pipeline of an organization, the relevance score indicative of relevance of the resume in relation to the job pipeline. A subset of resumes are selected from the plurality of resumes, the subset of resumes having highest relevance scores. A quality score for each selected resume of the subset of resumes is generated based on a machine learning model in a second stage associated with the job pipeline, the quality score indicative of quality of the selected resume in relation to the job pipeline.
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