Multi-Output Career Prediction: Dataset, Method, and Benchmark Suite

Abstract

In this paper, we investigate the career path prediction of an individual in the future. This benefits a variety of application in the industry including enhancing human resources, career guidance, and keeping track of future trends. To this end, we collected a dataset via LinkedIn network, with the job position and the job domain for each individual. There are many attributes related to historical background for each individual. For the career prediction, we investigate six different multi-class multi-output classification methods.

Year of Publication
2023
Conference Name
2023 57th Annual Conference on Information Sciences and Systems (CISS)
Date Published
03