Evaluation of the Path Optimization System for Internally Driving Factors in Employment Based on Apriori Algorithm

In our country, the employment problem has become an important issue in our economic construction. EEPOS (Endogenous Employment Path Optimization System) is a tool to analyze the employment situation of the society, which can provide effective policy support for the government. At present, the key to solve the difficult employment problem is to institutionalize the employment support system. Starting from the current situation of China's employment support system, the article gives some reasonable countermeasures against the problems of poor performance, imperfect design, and unclear expression of the current Chinese employment support system in the implementation process. This article discusses the analysis of endogenous employment element path optimization system based on Apriori algorithm, and analyzes the staging problem of endogenous employment element path optimization system based on this algorithm through experiments (e.g., the staging problem of the employment support degree of female doctoral degree), the support degree of female doctoral degree of employment of the tertiary industry is 72.39%, and the degree of certainty is 99.93%, and this system can clearly reflect the law of strong correlation substance).