Ziad Elgammal, Abdullah Barmu, Hamza Hassan, K. Elgammal, Tansel Özyer, R. Alhajj
{"title":"将申请人与职位配对,以便在就业市场上更好地分配员工","authors":"Ziad Elgammal, Abdullah Barmu, Hamza Hassan, K. Elgammal, Tansel Özyer, R. Alhajj","doi":"10.1109/acit53391.2021.9677374","DOIUrl":null,"url":null,"abstract":"Nowadays most people who are looking for a job use the Internet, visiting websites like Linkedin or Indeed so they must face hundreds of recruitment companies and job ads. The process of applying for a job is time consuming especially in screening, preparing and attending tests and interviews. In addition, job applicants do not know which companies are most proper for them, this job-hunting strategy can easily lead to employment dissatisfaction or failure. therefore, it is more efficient to recommend a few most suitable jobs. Also, manual screening for a position is time consuming and expensive. Experienced recruiters may be able to speed up the process by noting patterns in the resumes. The aim is therefore also to identify these patterns so they can be implemented in the system. In this work we try to introduce a system that would help both recruiters and job applicants in the job-hunting process.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Matching Applicants with Positions for Better Allocation of Employees in the Job Market\",\"authors\":\"Ziad Elgammal, Abdullah Barmu, Hamza Hassan, K. Elgammal, Tansel Özyer, R. Alhajj\",\"doi\":\"10.1109/acit53391.2021.9677374\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays most people who are looking for a job use the Internet, visiting websites like Linkedin or Indeed so they must face hundreds of recruitment companies and job ads. The process of applying for a job is time consuming especially in screening, preparing and attending tests and interviews. In addition, job applicants do not know which companies are most proper for them, this job-hunting strategy can easily lead to employment dissatisfaction or failure. therefore, it is more efficient to recommend a few most suitable jobs. Also, manual screening for a position is time consuming and expensive. Experienced recruiters may be able to speed up the process by noting patterns in the resumes. The aim is therefore also to identify these patterns so they can be implemented in the system. In this work we try to introduce a system that would help both recruiters and job applicants in the job-hunting process.\",\"PeriodicalId\":302120,\"journal\":{\"name\":\"2021 22nd International Arab Conference on Information Technology (ACIT)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 22nd International Arab Conference on Information Technology (ACIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/acit53391.2021.9677374\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 22nd International Arab Conference on Information Technology (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/acit53391.2021.9677374","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Matching Applicants with Positions for Better Allocation of Employees in the Job Market
Nowadays most people who are looking for a job use the Internet, visiting websites like Linkedin or Indeed so they must face hundreds of recruitment companies and job ads. The process of applying for a job is time consuming especially in screening, preparing and attending tests and interviews. In addition, job applicants do not know which companies are most proper for them, this job-hunting strategy can easily lead to employment dissatisfaction or failure. therefore, it is more efficient to recommend a few most suitable jobs. Also, manual screening for a position is time consuming and expensive. Experienced recruiters may be able to speed up the process by noting patterns in the resumes. The aim is therefore also to identify these patterns so they can be implemented in the system. In this work we try to introduce a system that would help both recruiters and job applicants in the job-hunting process.