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Collaborative filtering algorithm-based predictive model for the adaptability of employment policies for vocational college students

By: Yangzi Chen 1, Sheng Qin 2
1Department of Air Transport, Shanghai Civil Aviation College, Shanghai, 200120, China
2Department of Aircraft Flight Test, China Commercial Flying Company Civil Aircraft Flight Test Center, Shanghai, 200120, China

Abstract

Career planning for students at higher vocational colleges and universities must be tailored to the actual employment policy environment. Therefore, this paper combines the Structural Topic Model (STM) with the PMC Index Model to mine and analyze employment policy texts, converting policy texts into quantifiable indicators to conduct an analysis of the adaptability of the employment policy environment. The results show that, using policy documents from January 1, 2014, to December 31, 2024, as the research object, vocational college students exhibit high adaptability to the employment policy environment in dimensions such as compensation and benefits (0.84), post-contract mobility (0.95), career development (0.79), and job recruitment (0.78). However, the adaptability of the employment policy environment is relatively low in terms of university education (0.52) and rights protection (0.63). Therefore, optimizing employment policies must address the key “shortcomings” in policy supply and focus on achieving overall policy balance and alignment.