大数据挖掘下后疫情时代大学生就业趋势变化研究及对策

Ning Fang
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引用次数: 0

摘要

疫情爆发后,就业形势发生了巨大变化,大学生就业遇到了诸多困难。本研究旨在了解后疫情时代全国大学生的就业趋势。本文以山东省为样本进行问卷调查。收集数据,分析如何利用大数据技术指导高校毕业生就业。通过建立大数据平台,构建大学生就业标准化响应体系,构建大学生就业指导模型,找出大学生就业对策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research and Countermeasures on Changes in Employment Trends of College Students in Post-epidemic Era under Big Data Mining
After the outbreak of the epidemic, the employment situation has undergone tremendous changes, and college students have encountered many difficulties in finding jobs. This study is conducted to understand the employment trends of college students across the country in the post-epidemic era. We take Shandong Province as a sample to conduct a questionnaire survey. Data is collected to analyze how to use big data technology to guide college graduates in employment. By establishing big data platforms, a standardized response system for the employment of college students is constructed and a model is built to guide the employment, and find out the countermeasures of employment.
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