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Research on College Graduation Employment Predictionbased on Big Data Analysis Technology

Daolin Zhou

Abstract


Big data technology has been widely used with the development and progress of China’s economy and society. It can make accurate prediction of specifi c research problems by summarizing certain laws of data change. For a long time, the graduation and employment of college students always in the graduation season every year. Especially after China experienced the COVID-19 epidemic, college graduates face a more severe employment situation, which poses serious challenges to the stability of employment, refl ecting the contradictions of social structure transformation such as “diffi cult recruitment” and “diffi cult employment”. Therefore, it is of great signifi cance to use big data technology to accurately guide and predict the employment of university graduation. This paper starts with the current situation of college graduation employment, fi rst discusses the basic application signifi cance of big data technology in college graduation employment, and then deeply analyzes the application diffi culties and challenges of big data analysis technology for the employment prediction of college graduation, and then puts forward targeted application countermeasures.

Keywords


Big data analysis Technology;Graduation and Employment;Big data Prediction

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References


[1]Wang Yang, Wang Lingling Xin, Zhao Yifan. Thoughts and countermeasures to promote the employment of college graduates in the medium-and long term [J]. Macroeconomic Research, 2023 (06): 113-127.

[2]Jingqi Zhou.Research on Cultivation of Innovative Talents for Food Processing Technology Major in Higher vocational Colleges[J].China Food,2023(02):108-109+58.




DOI: http://dx.doi.org/10.18686/ahe.v7i32.11748

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