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Research on female talent recruitment system based on decision tree algorithm under the second-child policy

With the liberalization of the comprehensive second-child policy, the impact of fertility issues on women's employment has reappeared, causing widespread concern. The article introduces the current employment status and problems of women:women may extend the time to find a job due to the second...

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Main Authors: Zhang, Jiayue, Jamil, Rossilah
Format: Conference or Workshop Item
Published: 2022
Subjects:
H Social Sciences (General)
Online Access:http://eprints.utm.my/id/eprint/101431/
http://dx.doi.org/10.1109/BDICN55575.2022.00027
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id my.utm.101431
record_format eprints
spelling my.utm.1014312023-06-14T10:19:25Z http://eprints.utm.my/id/eprint/101431/ Research on female talent recruitment system based on decision tree algorithm under the second-child policy Zhang, Jiayue Jamil, Rossilah H Social Sciences (General) With the liberalization of the comprehensive second-child policy, the impact of fertility issues on women's employment has reappeared, causing widespread concern. The article introduces the current employment status and problems of women:women may extend the time to find a job due to the second child, or the professional continuity is not guaranteed, which will affect their career development,and then it explains the importance of the decision tree algorithm and how the decision tree algorithm is combined with the female talent recruitment system to help second-child women find suitable jobs as soon as possible and ease the competition in the talent market. Finally, it is concluded that the decision tree algorithm can make second-child women better understand which jobs they are more suitable for,and help second-child women master professional skills more quickly, learn more new knowledge, get more work challenges at work, let employees combine their own values and realize their own meaning in life. 2022 Conference or Workshop Item PeerReviewed Zhang, Jiayue and Jamil, Rossilah (2022) Research on female talent recruitment system based on decision tree algorithm under the second-child policy. In: 2022 International Conference on Big Data, Information and Computer Network, BDICN 2022, 20 January 2022 - 22 January 2022, Sanya, China. http://dx.doi.org/10.1109/BDICN55575.2022.00027
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Zhang, Jiayue
Jamil, Rossilah
Research on female talent recruitment system based on decision tree algorithm under the second-child policy
description With the liberalization of the comprehensive second-child policy, the impact of fertility issues on women's employment has reappeared, causing widespread concern. The article introduces the current employment status and problems of women:women may extend the time to find a job due to the second child, or the professional continuity is not guaranteed, which will affect their career development,and then it explains the importance of the decision tree algorithm and how the decision tree algorithm is combined with the female talent recruitment system to help second-child women find suitable jobs as soon as possible and ease the competition in the talent market. Finally, it is concluded that the decision tree algorithm can make second-child women better understand which jobs they are more suitable for,and help second-child women master professional skills more quickly, learn more new knowledge, get more work challenges at work, let employees combine their own values and realize their own meaning in life.
format Conference or Workshop Item
author Zhang, Jiayue
Jamil, Rossilah
author_facet Zhang, Jiayue
Jamil, Rossilah
author_sort Zhang, Jiayue
title Research on female talent recruitment system based on decision tree algorithm under the second-child policy
title_short Research on female talent recruitment system based on decision tree algorithm under the second-child policy
title_full Research on female talent recruitment system based on decision tree algorithm under the second-child policy
title_fullStr Research on female talent recruitment system based on decision tree algorithm under the second-child policy
title_full_unstemmed Research on female talent recruitment system based on decision tree algorithm under the second-child policy
title_sort research on female talent recruitment system based on decision tree algorithm under the second-child policy
publishDate 2022
url http://eprints.utm.my/id/eprint/101431/
http://dx.doi.org/10.1109/BDICN55575.2022.00027
_version_ 1769842054127419392
score 13.211869

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