Cross-sectional evidence for the job-matching model

1998 ◽  
Vol 5 (2) ◽  
pp. 121-125 ◽  
Author(s):  
Julie L. Hotchkiss
2003 ◽  
Author(s):  
Wouter J. den Haan ◽  
Christian Haefke ◽  
Garey Ramey
Keyword(s):  

2020 ◽  
Author(s):  
Roy Schwartz ◽  
Gabriel Stanovsky ◽  
Swabha Swayamdipta ◽  
Jesse Dodge ◽  
Noah A. Smith

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiaowei Wang ◽  
Zhenhong Jiang ◽  
Lingxi Peng

In this study, an end-to-end person-to-job post data matching model is constructed, and the experiments for matching people with the actual recruitment data are conducted. First, the representation of the constructed knowledge in the low-dimensional space is described. Then, it is explained in the Bidirectional Encoder Representations from Transformers (BERT) pretraining language model, which is introduced as the encoding model for textual information. The structure of the person-post matching model is explained in terms of the attention mechanism and its computational layers. Finally, the experiments based on the person-post matching model are compared with a variety of person-post matching methods in the actual recruitment dataset, and the experimental results are analyzed.


2005 ◽  
Vol 3 (6) ◽  
pp. 1360-1385 ◽  
Author(s):  
Wouter J. den Haan ◽  
Christian Haefke ◽  
Garey Ramey
Keyword(s):  

2004 ◽  
Author(s):  
Wouter J. Den Haan ◽  
Christian Haefke ◽  
Garey Ramey
Keyword(s):  

10.3386/w8463 ◽  
2001 ◽  
Author(s):  
Wouter Den Haan ◽  
Christian Haefke ◽  
Garey Ramey
Keyword(s):  

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