Design and Implementation of the Employment Management Decision Support System based on Machine Learning

JERA

Journal of Electronic Research and Application

2208-35022208-3510

Bio-Byword Scientific Publishing Pty. Ltd.

10.26689/jera.v8i5.8429

Article

Design and Implementation of the Employment Management Decision Support System based on Machine Learninghttps://artdesignp.com/journal/JERA/8/5/10.26689/jera.v8i5.8429MaZhigang

2024

2024-10-02

To address the challenges of current college student employment management, this study designed and implemented a machine learning-based decision support system for college student employment management. The system collects and analyzes multidimensional data, uses machine learning algorithms for prediction and matching, provides personalized employment guidance for students, and provides decision support for universities and enterprises. The research results indicate that the system can effectively improve the efficiency and accuracy of employment guidance, promote school-enterprise cooperation, and achieve a win-win situation for all parties.

Li H, Zhang C, 2023, Research on the Impact of Individual Effort and Family Background on the Employment Quality of College Students Based on Machine Learning. Chinese Adult Education, 2023(21): 25–29.

Li J, Zheng Y, Tang Y, et al., 2022, Machine Learning Based Analysis of Resume Data for College Students. Technological Innovation and Application, 12(2): 83–86. https://doi.org/10.19981/j.CN23-1581/G3.2022.02.021

Guan Z, Fang L, 2022, A Brief Analysis of Predicting and Coping with the Graduation Destination of College Students under Machine Learning SVM Algorithm: Based on the Framework of Human Capital and Social Capital. Special Economic Zone, 2022(8): 121–126.

Sun Y, Pan K, Sun Z, et al., 2019, Ideas and methods for predicting the Graduation Destinations of College Students: An Attempt based on Machine Learning Algorithms. Education Academic Monthly, 2019(1): 25–35.

Lin L, 2021, Design and Implementation of a College Student Employment System Platform Based on Computer Artificial Intelligence. Computer Knowledge and Technology, 17(2): 158–160.

Ma D, 2021, Strategies for Enhancing the Employment Competitiveness of College Students under the Background of Artificial Intelligence. Comparative Study on Cultural Innovation, 5(6): 20–22.

Zhao L, Chen H, 2019, Application Analysis of Job Skills Extraction in Recruitment Information based on Machine Learning. Computer Knowledge and Technology, 15(33): 211–212.

Cui X, 2023, Design and Implementation of a Smart Employment Recommendation System Based on Big Data Analysis and Artificial Intelligence. Journal of Hebei Software Vocational and Technical College, 25(2): 15–19.

Yin H, Li H, 2022, Development and Practice of an Intelligent Matching System for Precise Employment Supply and Demand of Vocational College Graduates Based on Big Data. Computer Knowledge and Technology, 18(29): 63–66.

Zhao L, Li L, 2019, Analysis of Student Employment Skills Based on Machine Learning. Computer Knowledge and Technology, 15(34): 190–191.

Lai S, 2020, A Machine Learning based Job Recommendation and Salary Prediction System, thesis, South China Agricultural University.

Huang X, Liu D, 2018, Recommendation and Evaluation Methods based on Machine Learning. Software Engineering, 21(5): 8–11.

Lu L, Li Y, Wang C, 2023, The Impact of Artificial Intelligence on Skills and Future Employment in the Media Industry: A Method Based on Machine Learning and Network Analysis. News University, 201(1): 101–117.

Liu H, 2021, Research on Employment Quality Evaluation Method Based on Artificial Intelligence and Data Information Analysis. Electronic Design Engineering, 29(24): 145–149.

Ma J, Wang M, Dai Y, et al., 2021, Computer based Employment Assistance Applications based on NLP Technology. Communication World, 28(3): 221–222.

Xiao Y, Li X, Liu W, 2024, Research on Strategies for Improving the Employment Competitiveness of College Students in the New Era. Education and Teaching Forum, 2024(27): 185–188.

Tan Y, Wang C, 2023, Research on the Employment Destination Model of College Students based on Logistic Regression Classification Algorithm. Theoretical Research and Practice of Innovation and Entrepreneurship, 6(3): 6–12.

Yang X, Liu Y, Zhang X, et al., 2023, Research on Predicting the Employment Ability of College Graduates Based on GA_XGBoost. Software, 44(2): 37–41.

Fang D, Jie B, Zhan Y, et al., 2023, Research on the Influencing Factors of College Students’ Career Choices based on Data Analysis. China Education Informatization, 29(11): 64–75.

Gu Y, 2022, Prediction of Employment Destinations for College Students based on Machine Learning Algorithms. Microcomputer Applications, 38(2): 172–175.