{"title":"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","authors":"Ning Fang","doi":"10.1109/ECEI57668.2023.10105265","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research and Countermeasures on Changes in Employment Trends of College Students in Post-epidemic Era under Big Data Mining\",\"authors\":\"Ning Fang\",\"doi\":\"10.1109/ECEI57668.2023.10105265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":176611,\"journal\":{\"name\":\"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECEI57668.2023.10105265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECEI57668.2023.10105265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.