Data mining and machine learning-based talent assessment method

Abstract

The invention discloses a data mining and machine learning-based talent assessment method, and relates to the field of data mining. The method comprises the following steps of: extracting personnel information data from a lot of resumes; carrying out assessment and scoring on work experiences and project experiences of talents; constructing a knowledge base which takes job positions and companiesas reference indexes according to a lot of resumes, so as to establish a machine learning model; recommending proper positions for users through the machine learning model by taking fields as input; artificially assessing whether the recommendation is proper or not, and automatically adjusting model parameters through user feedback; and importing other pieces of information data of the talents, and carrying out comparison, screening and reinforcement through multiple data sources so as to automatically adjust the model parameters. According to the method, manual work can be simulated by computer programs to assess resumes and talents, so that the workload of HR is greatly reduced.

Description

technical field [0001] The present invention relates to the field of data mining, and more specifically, to a talent evaluation method based on data mining and machine learning. Background technique [0002] Talent assessment has always been an important field in the human resources industry. For a company, it is an important task to make appropriate judgments on many candidates, which is related to talent selection. Traditionally, this is also a complex job that combines objective resume evaluation and subjective interview evaluation, and the professional requirements for HR are not simple. Moreover, due to the large amount of data involved, HR often makes wrong talent assessments due to objective reasons such as fatigue. [0003] The maturity of big data mining and machine learning technology can greatly reduce the work of data processing. Applying computer programs to talent evaluation can simulate human beings for talent evaluation, which not only greatly reduces the pr...

AI Technical Summary

Problems solved by technology

Traditionally, this is also a complex job that combines objective resume assessment and subjective interview assessment assessment. The professional requirements for HR are not simple

Moreover, due to the large amount of data involved, HR often makes wrong talent assessments due to objective reasons such as fatigue

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