What is it about?
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.
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Why is it important?
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.
Perspectives
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.
Dr Jorge Martinez-Gil
Software Competence Center Hagenberg GmbH
Read the Original
This page is a summary of: A Smart Approach for Matching, Learning and Querying Information from the Human Resources Domain, January 2016, Springer Science + Business Media,
DOI: 10.1007/978-3-319-44066-8_17.
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Resources
A Smart Approach for Matching, Learning and Querying Information from the Human Resources Domain
A Smart Approach for Matching, Learning and Querying Information from the Human Resources Domain
A Smart Approach for Matching, Learning and Querying Information from the Human Resources Domain
A Smart Approach for Matching, Learning and Querying Information from the Human Resources Domain - Other preprint
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