Research Article
Career Recommendation System Design Based on FP-growth Algorithm
@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
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.
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