Application of Machine Learning Algorithm in Human Resource Recommendation: From Tradition Machine Learning Algorithm to AutoML

DOI

10.2991/assehr.k.200331.034How to use a DOI?

Keywords

human resource recommendation, machine learning, AutoML algorithms

Abstract

In the decades since artificial intelligence was proposed, machine learning, the main branch of artificial intelligence, has achieved remarkable results in various fields such as natural language processing, image recognition, and computer vision. This article mainly introduces machine learning from traditional machine learning algorithms to Automated Machine Learning (AutoML). The main structure of this article is as follows: 1) Principles of machine learning algorithms, 2) Application of various machine learning algorithms in human resource recommendation algorithms, 3) Simple application of AutoML algorithm in human resource recommendation algorithms. The advantages and limitations are briefly described at the end. It turns out that the simplicity of the AutoML algorithm makes it very easy to apply in vsarious fields. In the future, with the optimization of the algorithm, the generalization performance of the algorithm will be further improved.

Copyright

© 2020, 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  - Xiaoan Pan
PY  - 2020
DA  - 2020/04/02
TI  - Application of Machine Learning Algorithm in Human Resource Recommendation: From Tradition Machine Learning Algorithm to AutoML
BT  - Proceedings of the 5th International Conference on Social Sciences and Economic Development (ICSSED 2020)
PB  - Atlantis Press
SP  - 154
EP  - 157
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200331.034
DO  - 10.2991/assehr.k.200331.034
ID  - Pan2020
ER  -