| Autor: |
Zha, Rui, Sun, Ying, Qin, Chuan, Zhang, Le, Xu, Tong, Zhu, Hengshu, Chen, Enhong |
| Zdroj: |
ACM Transactions on Information Systems; Jul2024, Vol. 42 Issue 4, p1-28, 28p |
| Abstrakt: |
The article introduces UniTRep, a unified representation learning framework for career mobility analysis, aiming to address the lack of cross-scale interactions between talents and the labor market. Topics include leveraging trajectory hypergraphs for organizing career mobility patterns, attentively propagating market contextual features into individual trajectory modeling, and optimizing learning with self-supervised strategies. |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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