Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning

no code implementations • 8 Oct 2018 • Chen Zhu, HengShu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li

To this end, in this paper, we propose a novel end-to-end data-driven model based on Convolutional Neural Network (CNN), namely Person-Job Fit Neural Network (PJFNN), for matching a talent qualification to the requirements of a job.

Data Visualization Representation Learning

Recruitment Market Trend Analysis with Sequential Latent Variable Models

no code implementations • 8 Dec 2017 • Chen Zhu, HengShu Zhu, Hui Xiong, Pengliang Ding, Fang Xie

To this end, in this paper, we propose a new research paradigm for recruitment market analysis by leveraging unsupervised learning techniques for automatically discovering recruitment market trends based on large-scale recruitment data.