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
Link To Document