• DocumentCode
    123423
  • Title

    E&VRobot: A crawler of education and vocation

  • Author

    Gang Wan ; Yi Ding ; Bing Li ; Xiaohu Tan

  • Author_Institution
    Sch. of Comput., Wuhan Vocational Coll. of Software & Eng., Wuhan, China
  • fYear
    2014
  • fDate
    22-24 Aug. 2014
  • Firstpage
    473
  • Lastpage
    476
  • 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.
  • Keywords
    Web sites; employment; information retrieval; recruitment; China; E&VRobot; education crawler; employment information; employment platform; recruitment Web site; search employment opportunities; university graduates; vocation crawler; Adaptation models; Biological system modeling; Computers; Educational institutions; Employment; Indexes; Remuneration; Recruitment website; content extraction; crawler;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2014 9th International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4799-2949-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2014.6926506
  • Filename
    6926506