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

• 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

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.