E3S Web Conf.
Volume 251, 20212021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|Number of page(s)||4|
|Section||Analysis of Energy Industry Economy and Consumption Structure Model|
|Published online||15 April 2021|
Research on Employment Information Management Platform for Colleges and Universities Based on Big Data
Department of Information Engineering, Shandong Vocational College of Science and Technology, Weifang, Shandong Province, 261053, China
It is an era of big data nowadays. Processing, analyzing and working with data are new opportunities and challenges. This article mainly studies the development and application of employment information management platform of colleges and universities under the background of big data. As the number of graduates increases year by year, the employment situation is becoming more and more severe. The employment information management platform is playing an increasingly important role as an information exchange platform for colleges and universities to learn about the employment situation of students, and for employers to release recruitment information and for students’ job hunting. The employment information management platform makes full use of big data for analysis, which can well control the employment; at the same time, the school grasps the changing trend of society’s needs for talents through analysis, and the employment situation of graduates will be used as the main basis to revise talent training plans, formulate enrollment plans, and carry out feasibility study for adding new majors. The big data platform provides a basis for decision-making of colleges and universities and is of great significance to the development of school. Therefore, it is extremely urgent to build an efficient and convenient employment information management platform to meet the needs of colleges and universities, employers and students.
Key words: big data / data mining / employment information platform / three-tier frame
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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