Analysis And Mining Of Online Recruitment Information

Network recruitment information platform has become the main channel for recruitment and it also can bring that job seekers can obtain information.Network recruitment information on the one hand can directly reflect the employerrequirements about talent basic condition,ability and quality,providing reference for job applicants;on the other hand can also reflect the status of society and industry demand for talent,or the talent demand trend;at the same time it also can help universities to understand the change of the social demand for talent,and timely to adjust the professional enrollment and revise the talent training scheme.In this paper,by using the R software and K-Means cluster analysis and principal component analysis technology analysis and mining network recruitment system information,and on the summary,the main work is as follows.1.Using the K-Means clustering algorithm to analyze the type of occupation,get the most professional types of enterprises,and draw the corresponding professional areas of these types of occupations.2.Using the social network analysis to get the popular jobs and job portraits of technology,marketing and sales,operations,functions and so on.3.Usingthe principal component analysis to analyze the popular areas,hot industry and popular positions to rank and to analyze the demand for talent.4.Usingthe statistical methods to analyze data analysts,big data analysts,data product manager,data mining algorithm engineer and other emerging position on the region,company development,education,salary and skills required for demand analysis.Finally,it not only provides important reference information for colleges and universities to adjust the personnel training programs and arrangements of course,but also provides suggestions for college students' employment planning.