Multi-evaluation model of employment based on big data fusion

In order to objectively evaluate students’ employment status, this paper proposes a multi-evaluation employment evaluation model based on big data. Firstly, construct the comprehensive evaluation index of college students’ employment; Then, the statistical feature analysis method is used for statistical information sampling and panel data statistics to extract the feature quantity of evaluation data association rules; Finally, taking the distribution characteristics of evaluation indexes and related parameters as constraint variables, a multi -evaluation model of employment is established by using big data fusion technology. The simulation results show that the new employment evaluation model is effective and has high evaluation accuracy.