Design and Implementation of College Graduation Employment Recommendation Service Platform under the Background of Big Data

Abstract

At present, the number of college graduates continues to increase every year in China. The government, enterprises and other organizations should guarantee the smooth employment of college students from various aspects such as employment recommendation service. But due to the rapid development of Internet technology, which results in the explosive growth of information, the network is full of massive employment-related data. Therefore, in view of this issue, it is very urgent and important to effectively and timely extract the valuable employment data and publish it to the recruitment enterprises and the graduates. Based on this, this paper designs the employment recommendation service platform for college graduates, which creatively applies the data mining technology of big data, analyzes and processes the employment related information, establishes the search link, and helps the college graduates to find the required employment information more effectively and timely. The results show that the function and performance, reliability, availability and compatibility of the employment recommendation service platform for college graduates have been tested and accepted by the thirdparty software, and can be widely popularized and used to better serve the enterprises and graduates.