E&VRobot: A crawler of education and vocation

Gang Wan, Yi Ding, Bing Li, Xiaohu Tan
{"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.
E&VRobot:教育和职业的爬虫
在中国,招聘网站已经成为大学毕业生重要的就业平台。它允许求职者注册他们的信息,搜索就业机会,并帮助他们找到自己满意的工作。同时,很多用人单位都通过招聘网站发布招聘信息,包括发布日期、公司名称、公司规模、工作地点、招聘情况、薪资范围,尤其是岗位职责、岗位要求等等。从招聘网站获得的信息可以用来创建不同领域的几个应用程序。然而,由于每天发布的招聘信息数量不断增加,以及招聘网站的动态性,从招聘网站中提取相关信息的任务变得困难且耗时。针对这一情况,本文提出了一种基于教育职业招聘网络的智能爬虫E&VRobot。最后,对所提出的爬虫进行了初步评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信