A Framework of Graduate Employment Recommendation System and Key Technologies

DOI

10.2991/icimm-16.2016.35How to use a DOI?

Keywords

Graduated Employment; Recommendation System; Recommendation Model;

Abstract

More and more websites have realized the importance of providing personalized recommendation by Recommendation System. As a supplement and improvement of Search Engine System, Recommendation System can be applied in the graduate employment websites to supply personalized employment guidance and recommendation to each graduate and improve the graduate employment service in China. In this paper, the main idea was to construct the framework and discuss the key technologies of Graduate Employment Recommendation System. Firstly, the graduate characteristic model, the recommendation model, and the recommendation rank and output model were discussed to construct the framework. Then, the key technologies such as graduate characteristic technologies, similarity algorithms, and neighbor selection mechanism were discussed to achieve the Graduate Employment Recommendation System. The experimental simulation result has shown that the recommendation system can be applied in graduate employment website and has a good performance.

Copyright

© 2016, 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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TY  - CONF
AU  - Shengbo Shi
AU  - Hexin Lv
PY  - 2016/11
DA  - 2016/11
TI  - A Framework of Graduate Employment Recommendation System and Key Technologies
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 169
EP  - 174
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.35
DO  - 10.2991/icimm-16.2016.35
ID  - Shi2016/11
ER  -