@inproceedings{794,
  author = {Shruti Singh and Abhijeet Gupta and Samah Baraheem and Tam Nguyen},
  title = {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. Via the benchmark suite, the best classifier achieves an accuracy rate of 91.21% and 95.97% for the job domain and the job position, respectively.},
  year = {2023},
  journal = {2023 57th Annual Conference on Information Sciences and Systems (CISS)},
  chapter = {1},
  pages = {6},
  month = {03},
  url = {https://par.nsf.gov/biblio/10428230},
  doi = {10.1109/CISS56502.2023.10089642},
}