Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24–26, 2023, Zhengzhou, China

Research Article

Career Recommendation System Design Based on FP-growth Algorithm

Download21 downloads
  • @INPROCEEDINGS{10.4108/eai.24-11-2023.2343709,
        author={Xuemei  Li and Maryli F  Rosas},
        title={Career Recommendation System Design Based on FP-growth Algorithm},
        proceedings={Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24--26, 2023, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={ITEI},
        year={2024},
        month={4},
        keywords={association rules fp-growth algorithm correlation coefficient matrix employment guidance system},
        doi={10.4108/eai.24-11-2023.2343709}
    }
    
  • Xuemei Li
    Maryli F Rosas
    Year: 2024
    Career Recommendation System Design Based on FP-growth Algorithm
    ITEI
    EAI
    DOI: 10.4108/eai.24-11-2023.2343709
Xuemei Li1,*, Maryli F Rosas2
  • 1: Anhui Sanlian University
  • 2: De La Salle University –Dasmariñas City of Dasmariñas
*Contact email: lxx2677@dlsud.edu.ph

Abstract

In recent years, due to the rapid increase of college graduates in China, Chinese college graduates have encountered unprecedented challenges in employment. Therefore, it is necessary to fully understand the needs of enterprises and what factors in the employment process contribute to successful employment. Comprehensive consideration of factors including individual school performance, job requirements, etc. In order to provide suggestions and guidance for undergraduate graduates in employment, this paper collects the employment situation of graduates from the electrical engineering school of a university in the past three years, and analyzes the data based on the association rules of F-growth algorithm.