Innovating HR Using an Expert System for Recruiting IT Specialists -- ESRIT
This addresses recruitment inefficiencies for HR departments in the IT sector, but it is incremental as it applies existing AI methods to a specific domain problem.
The paper tackles the problem of HR departments struggling to recruit qualified IT specialists by designing and testing an expert system called ESRIT, which uses text mining, NLP, and classification algorithms to extract relevant skills from resumes, though no concrete performance numbers are provided.
One of the most rapidly evolving and dynamic business sector is the IT domain, where there is a problem finding experienced, skilled and qualified employees. Specialists are essential for developing and implementing new ideas into products. Human resources (HR) department plays a major role in the recruitment of qualified employees by assessing their skills, using different HR metrics, and selecting the best candidates for a specific job. Most recruiters are not qualified to evaluate IT specialists. In order to decrease the gap between the HR department and IT specialists, we designed, implemented and tested an Expert System for Recruiting IT specialist - ESRIT. The expert system uses text mining, natural language processing, and classification algorithms to extract relevant information from resumes by using a knowledge base that stores the relevant key skills and phrases. The recruiter is looking for the same abilities and certificates, trying to place the best applicant into a specific position. The article presents a developing picture of the top major IT skills that will be required in 2014 and it argues for the choice of the IT abilities domain.