A content based approach for recommending personnel for job positions

In this paper, we propose a content-based approach that takes into consideration an organization's needs and the skills of candidate employees in order to quantify the suitability of a candidate employee for a specific job position. The proposed algorithm utilizes Minkowski distance to perform a primary study in order to investigate how the personnel seeking and recruiting field could benefit further. Also, we conduct a three step experimental evaluation, namely, content analysis, refinement of the algorithm, and execution. The results of this experiment show that recommender systems can play an important role in the area of job seeking and recruiting.