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In today’s candidate-driven market, talent recruitment represents a major challenge for many companies. Younger millennials have different expectations of their work environment than previous generations. They are heavy users of technology in almost all their activities, including job search. They are also used to multiple social medias and expect faster feedback. In this changing environment, traditional job web sites do not answer the challenges facing today’s talent recruitment. It becomes obvious that we need a new approach to tackle this problem. Using social medias like models in recruitment is a new idea that can have a positive impact in today’s job market. The goal here is to develop advanced machine-learning algorithms, that can learn and improve over time, for a recommender system candidate-company matching in the context of recruitment.
Moulay Akhloufic
Abdarahmane Traoré
GradsFinder Recruiting Inc
Computer science
Information and communications technologies
Université de Moncton
Accelerate
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