We are faced with the complex issue of prompt, effective and equally agreeable arbitration among job openings and relevant candidate descriptions through automatic processing techniques. This topic has now become a significant challenge to all governmental recruiting agencies in the world, as well as companies and job applicants. It is widely accepted that intelligent technologies for efficiently combining, learning, and aggregating open positions and candidate descriptions can provide a key software of great importance and effect and further offset the shortage of qualified labor and/or suitable job positions for all the unemployed.
