{"title":"Analysis of the Combination of Enterprise Recruitment and College Student Employment Based on Data Visualization","authors":"Wayuan Xiao","doi":"10.61173/abcarm19","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to explore how to combine the recruitment needs of enterprises with the employment of college students through data visualization technology, and to provide new insights for addressing the employment matching challenge. First of all, it will introduce the current situation and challenges of enterprise recruitment and college student employment, and analyze the problems and reasons for this. Secondly, a method based on data visualization will be proposed. By collecting and analyzing relevant data from the Boss direct employment platform, including educational requirements, salary, work experience, occupation type, and other information. Visualization tools will be used to present data, and these tools will also demonstrate the recruitment needs of enterprises. Then, it will explore how to make targeted recommendations and provide career guidance based on the results of data analysis to promote a better match between enterprises and college students. Finally, the research results will be summarized, and the future research direction and development trend will be prospected.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"16 2‐3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science and Technology of Engineering, Chemistry and Environmental Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.61173/abcarm19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The purpose of this paper is to explore how to combine the recruitment needs of enterprises with the employment of college students through data visualization technology, and to provide new insights for addressing the employment matching challenge. First of all, it will introduce the current situation and challenges of enterprise recruitment and college student employment, and analyze the problems and reasons for this. Secondly, a method based on data visualization will be proposed. By collecting and analyzing relevant data from the Boss direct employment platform, including educational requirements, salary, work experience, occupation type, and other information. Visualization tools will be used to present data, and these tools will also demonstrate the recruitment needs of enterprises. Then, it will explore how to make targeted recommendations and provide career guidance based on the results of data analysis to promote a better match between enterprises and college students. Finally, the research results will be summarized, and the future research direction and development trend will be prospected.
本文旨在探讨如何通过数据可视化技术将企业招聘需求与大学生就业相结合,为解决就业匹配难题提供新的启示。首先,介绍企业招聘与大学生就业的现状与挑战,分析其中存在的问题与原因。其次,提出一种基于数据可视化的方法。通过收集和分析 Boss 直聘平台的相关数据,包括学历要求、薪资待遇、工作经验、职业类型等信息。将使用可视化工具来呈现数据,这些工具也将展示企业的招聘需求。然后,将探讨如何根据数据分析结果进行有针对性的推荐和职业指导,促进企业与大学生更好地匹配。最后,总结研究成果,展望未来研究方向和发展趋势。