{"title":"E&VRobot: A crawler of education and vocation","authors":"Gang Wan, Yi Ding, Bing Li, Xiaohu Tan","doi":"10.1109/ICCSE.2014.6926506","DOIUrl":null,"url":null,"abstract":"Recruitment website in China has become an important employment platform for university graduates. It allows the job seekers to register their information, search employment opportunities and help them finding the jobs they are satisfied with. At the same time, a lot of employers have released employment information through the recruitment website, including the release date, the name of the company, the company size, the working location, the hiring, the salary range, especially the job responsibilities, the job requirements and so on. The information obtained from the recruitment website may be used to create several applications in various fields. However, due to the growing number of employment information posted every day, as well as the dynamicity of the recruitment website, the task of extracting relevant information from the recruitment webs has become difficult and time consuming. Faced with this scenario, this paper proposes E&VRobot, an intelligent crawler of education and vocation for recruitment web. Finally, it presents a preliminary evaluation of the proposed crawler.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"200 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 9th International Conference on Computer Science & Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2014.6926506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Recruitment website in China has become an important employment platform for university graduates. It allows the job seekers to register their information, search employment opportunities and help them finding the jobs they are satisfied with. At the same time, a lot of employers have released employment information through the recruitment website, including the release date, the name of the company, the company size, the working location, the hiring, the salary range, especially the job responsibilities, the job requirements and so on. The information obtained from the recruitment website may be used to create several applications in various fields. However, due to the growing number of employment information posted every day, as well as the dynamicity of the recruitment website, the task of extracting relevant information from the recruitment webs has become difficult and time consuming. Faced with this scenario, this paper proposes E&VRobot, an intelligent crawler of education and vocation for recruitment web. Finally, it presents a preliminary evaluation of the proposed crawler.