Research on The Effectiveness of Campus Recruitment Based on Big Data

Abstract

To improve the effectiveness of the campus recruitment fair, through the analysis of the effective statistics of the campus recruitment fair, the quantitative evaluation of the effectiveness of the campus recruitment fair was carried out, and a method for evaluating the effectiveness of the campus recruitment fair based on big data analysis was proposed. The effective statistical analysis model of big data statistics, combined with sample regression analysis method, analyzes the effective data big data of campus recruitment fairs in campus recruitment meeting, constructs the decision objective function of campus recruitment fair effectiveness evaluation, and adopts the method of convergence rule evaluation for campus. Quantitative regression analysis of the effectiveness of job fairs, using descriptive statistical analysis results for big data mining and relevance description. The statistical feature of the extracted campus job fairs uses the average mutual information clustering method for pattern recognition and feature screening. The effectiveness evaluation of campus recruitment fair based on big data analysis is realized. The simulation results show that the confidence level of the campus recruitment fair effectiveness evaluation is higher and the evaluation results are accurate and reliable.