Design and Implementation of Postgraduate Entrance Examination Scores Prediction System Based on Spark

There are significant changes in the number of candidates and majors recruited for the postgraduate entrance examination every year. Developing a postgraduate entrance examination score prediction and recommendation system can provide data support for the majority of candidates in the process of filling out their preferences. This system is developed using the Hadoop+Spark framework, Crawling past postgraduate entrance examination data using Python, developing web side features using the Springboot+mybatis framework, using Echarts to provide interactive and intuitive data visualization charts, using MySQL database to store crawled data, perform data extraction, multidimensional analysis, query statistics, and other operations through Spark parallel computing to complete data analysis and recommendation functions.