Job-Candidate Classifying and Ranking System-Based Machine Learning Method-Reference-Cited by-同舟云学术

Job-Candidate Classifying and Ranking System-Based Machine Learning Method

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Computer Science and Engineering Conference (ICSEC)
language:
Short-container-title:

Author:

Boonchob Thapanee¹,Tuaycharoen Nuengwong¹,Limpeeticharoenchot Santisook¹,Thanyawet Narongthat²

Affiliation:

1. Chulalongkorn University,Computer Engineering,Bangkok,Thailand

2. STelligence Co.,Ltd.,Technical Solution,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10049307/10049308/10049350.pdf?arnumber=10049350

Reference24 articles.

1. CatBoost: unbiased boosting with categorical features;ostroumova;32nd Conference on Neural Information Processing Systems (NeurIPS) Montréal Canada,0

2. The use of the area under the ROC curve in the evaluation of machine learning algorithms

3. Hybrid of Naive Bayes and Gaussian Naive Bayes for Classification: A Map Reduce Approach;agarwal;International Journal of Innovative Technology and Exploring Engineering (IJITEE),2019

4. Confidence interval for micro-averaged F1 and macro-averaged F1 scores

5. K-Nearest Neighbors and Grid Search CV Based Real Time Fault Monitoring System for Industries

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Survey on Resume and Job Profile Matching System;2023 6th International Conference on Advances in Science and Technology (ICAST);2023-12-08

2. An Analysis of the Human Resource Recruitment Process using Artificial Intelligence Platform;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23