Matching-Learning-Querying-Human-Resources.pdf (195.18 kB)
A Smart Approach for Matching, Learning and Querying Information from the Human Resources Domain
We face the complex problem of timely, accurate and mutually
satisfactory mediation between job offers and suitable applicant
profiles by means of semantic processing techniques. In fact, this
problem has become a major challenge for all public and private
recruitment agencies around the world as well as for employers and job
seekers. It is widely agreed that smart algorithms for automatically
matching, learning, and querying job offers and candidate profiles will
provide a key technology of high importance and impact and will help to
counter the lack of skilled labor and/or appropriate job positions for
unemployed people. Additionally, such a framework can support global
matching aiming at finding an optimal allocation of job seekers to
available jobs, which is relevant for independent employment agencies,
e.g. in order to reduce unemployment.