Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Design of a Talent Recruitment & Job-Hunting System Based on Smartphone

Authors
Suolan Liu, Lizhi Kong, R Song
Corresponding Author
Suolan Liu
Available Online April 2017.
DOI
10.2991/emim-17.2017.198How to use a DOI?
Keywords
Recruitment, Job-hunting, Enterprises, Seekers, System
Abstract

With the development of enterprises as well as the continuous expansion of higher education, the tradition recruitment fairs cannot meet the needs of supply and demand. In this paper, we develop a system based on mobile phone, which can provide a fast and effective way for both enterprises and job seekers. The system offers the function of quickly posting talent requirements, and provides convenient way for job seekers to filter suitable job positions. Make the talent recruitment and job-hunting become easy at the primary stage.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.198How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Suolan Liu
AU  - Lizhi Kong
AU  - R Song
PY  - 2017/04
DA  - 2017/04
TI  - Design of a Talent Recruitment & Job-Hunting System Based on Smartphone
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 996
EP  - 999
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.198
DO  - 10.2991/emim-17.2017.198
ID  - Liu2017/04
ER  -