A hierarchical similarity based job recommendation service framework for university students

doi:10.1007/s11704-016-5570-y

Front. Comput. Sci.

2017, Vol. 11

Issue (5) : 912-922 https://doi.org/10.1007/s11704-016-5570-y

RESEARCH ARTICLE

A hierarchical similarity based job recommendation service framework for university students

Rui LIU^1,^2,³, Wenge RONG^1,^2,³(

), Yuanxin OUYANG^1,^2,³, Zhang XIONG^1,^2,³

¹. State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China
². Engineering Research Center of Advanced Computer Application Technology,Ministry of Education, Beihang University, Beijing 100191, China
³. School of Computer Science and Engineering, Beihang University, Beijing 100191, China

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Abstract

When people want to move to a new job, it is often difficult since there is too much job information available. To select an appropriate job and then submit a resume is tedious. It is particularly difficult for university students since they normally do not have any work experience and also are unfamiliar with the job market. To deal with the information overload for students during their transition into work, a job recommendation system can be very valuable. In this research, after fully investigating the pros and cons of current job recommendation systems for university students, we propose a student profiling based re-ranking framework. In this system, the students are recommended a list of potential jobs based on those who have graduated and obtained job offers over the past few years. Furthermore, recommended employers are also used as input for job recommendation result re-ranking. Our experimental study on real recruitment data over the past four years has shown this method’s potential.

Keywords job recommendation students similarity time re-ranking

Corresponding Author(s): Wenge RONG

Just Accepted Date: 27 April 2016 Online First Date: 12 June 2016 Issue Date: 26 September 2017

Cite this article:

Rui LIU,Wenge RONG,Yuanxin OUYANG, et al. A hierarchical similarity based job recommendation service framework for university students[J]. Front. Comput. Sci., 2017, 11(5): 912-922.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-016-5570-y
https://academic.hep.com.cn/fcs/EN/Y2017/V11/I5/912

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