Semi-supervised human resource scheduling based on deep presentation in the cloud

Semi-supervised human resource scheduling based on deep presentation in the cloud

Abstract Traditional competitive human resource allocation is no longer suitable for contemporary requirements. To improve the effectiveness of human resource management and the degree of matching between jobs and staffs, we propose a novel auto-encoder neural network-based method in the cloud envir...

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Bibliographic Details
Main Authors: Yuanmo Lin, Xinmei Wang, Rongbin Xu
Format: Article
Language:English
Published: SpringerOpen 2020-04-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Semi-supervised learning
Cloud computing
Human resource allocation
Staff relationship
Neural network
Online Access:http://link.springer.com/article/10.1186/s13638-020-01677-6

Internet

http://link.springer.com/article/10.1186/s13638-020-01677-6

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