Job classification: a review on data, features, and methods

In this review paper, job classification is viewed as a process to classify or to recommend jobs to the group job candidates according to the criteria set. Job classification has wide view of its definition, in this review paper, we are focusing on the job classification in classifying certain jobs area into different categories according to the skills required. Job recommender area also had been explored as it has the same application as the job classification is this study. The purpose of this review is to study on the data, features, and methods used in classifying jobs. Type of data used such as nominal and numerical, features used such like CGPA, demographic factors, and different methods used to classify the data like job recommender systems and classifiers had been figured out in this review paper. Considering the recent works in this area, several recommendations for future works are presented to further improve the performance of job classification especially for graduates.