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Analysis of the Impact of Machine Learning Research Methods on Labour Market Research—An Example from CNKI

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DOI: 10.23977/jaip.2024.070410 | Downloads: 6 | Views: 482

Author(s)

Zhou Ziheng 1

Affiliation(s)

1 Institute of Political Science and Law, Jinan University, Jinan, China

Corresponding Author

Zhou Ziheng

ABSTRACT

In the current field of labour market research, with the rapid development of artificial intelligence technology, the application of machine learning methods is increasing, which has a significant impact on labour market analysis. This paper firstly analyzes the number of times machine learning methods are used in labour market research at the present stage, and compares machine learning methods with traditional econometric.

KEYWORDS

Machine learning, labour market, artificial intelligence technology

CITE THIS PAPER

Zhou Ziheng, Analysis of the Impact of Machine Learning Research Methods on Labour Market Research—An Example from CNKI. Journal of Artificial Intelligence Practice (2024) Vol. 7: 87-90. DOI: http://dx.doi.org/10.23977/jaip.2024.070410.

REFERENCES

[1] Li Jia, Xue Kevin, Zhao Jianguo. A study on the impact of 'digital divide' on the re-employment of urban under-aged elderly[J]. China Soft Science, 2024, (08):189-199.
[2] He, H., & Wu, Y. (2020). A machine learning approach to understanding the determinants of public opinion on social policies. Social Science Computer Review, 38(2), 228-245. 
[3] Y. Zhang, M.H. Zhang. Research on competence evaluation and matching based on machine learning[J]. Computer Engineering and Science, 2019, 41(02):363-369.
[4] Gentzkow, M., Shapiro, J. M., & Taddy, M. (2019). Estimating the effects of media content on political attitudes: A machine learning approach. American Economic Review, 109(9), 2936-2971. 
[5] Zhang YQ, Shan DP. Where is the road: an investigation of the impact of digital disablement on the employment relationship of overage migrant workers - empirical evidence based on machine learning[J]. Lanzhou Journal, 2023, (09): 149-160.
[6] Chong, A., & Lupu, N. (2021). Predicting social behavior with machine learning: Applications to political science and sociology. Journal of Computational Social Science, 4(1), 105-126.

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