• DocumentCode
    584335
  • Title

    The Case Study for the Basic Information Service of Job Post Resource Based on Web Mining

  • Author

    Kong, Qingxia ; Cai, Yang ; Zhu, Quanyin

  • Author_Institution
    Fac. of Electron. & Electr. Eng., Huaiyin Inst. of Technol., Huaian, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    498
  • Lastpage
    501
  • Abstract
    In order to build an efficient basic information service system of job post resources based on Web mining, a rapid and efficient job post resource mining system should be established. The proposed system is based on Django development, My SQL is used as database. The Django is opted to build the proposed system framework which is a Python open source Web framework, it encourage the rapid development, and follow the MVC design. Due to different recruitment website has different design style, so the different mining method are used to deal with it. The extracted results include the job post name, location, update time, current time, recruitment conditions and the basic information of company. The job post name and company as the unique characteristic to distinguish different job post resources information. This can be converting the original data format from two dimensional to three dimensional which can improve the speed and efficiency of locating. The application results show as by proposed system architecture can better satisfy the application requirements for the customer.
  • Keywords
    Internet; SQL; data mining; public domain software; recruitment; Django development; MVC design; My SQL; Python open source Web framework; Web mining; basic information service system; job post resource mining system; original data format; recruitment Website; Companies; Computers; Databases; Recruitment; Servers; Web mining; MySQL database; Web mining; job post resources; system architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.131
  • Filename
    6394369