Self-Attentional Multi-Field Features Representation and Interaction Learning for Person-Job Fit-Reference-Cited by-同舟云学术

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Self-Attentional Multi-Field Features Representation and Interaction Learning for Person-Job Fit

Published:2021 Issue: Volume: Page:1-14
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

He Miao^ORCID,Shen Dayong,Wang Tao,Zhao Hua,Zhang Zhongshan,He Renjie^ORCID

Funder

National Social Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/6780646/09663400.pdf?arnumber=9663400

Cited by 6 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. PTCR-PJF: A Person-Job Fit Model for Structured Resumes;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. A Challenge-based Survey of E-recruitment Recommendation Systems;ACM Computing Surveys;2024-06-22

3. Cognition2Vocation: meta-learning via ConvNets and continuous transformers;Neural Computing and Applications;2024-04-23

4. Approach of Job-person Matching Method in Manufacturing Enterprises Based on AHP-GA-BP;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

5. A bilateral heterogeneous graph model for interpretable job recommendation considering both reciprocity and competition;Frontiers of Engineering Management;2024-02-07

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