Recommender Systems (RS) are a subclass of information filtering systems that seek to
predict the rating or preference a user would give to an item. e-Recruitment is one of the …

This paper provides a review of the job recommender system (JRS) literature published in
the past decade (2011-2021). Compared to previous literature reviews, we put more …

A changing job market, influenced by different factors such as globalization and
demographic growth, urges close monitoring. The digitization of the job market has given the …

The global workforce is urged to constantly reskill, as technological change favours
particular new skills while making others redundant. But which skills are a good investment …

Continuously learning new skills is essential for talents to gain a competitive advantage in
the labor market. Despite extensive efforts on relevance-or preference-based skill …

E-recruitment recommendation systems recommend jobs to job seekers and job seekers to
recruiters. The recommendations are generated based on the suitability of job seekers for …

Studies on the relationship between education and employability are of paramount
importance for policy makers, training institutions, companies and students. The availability …

In the 21st century, technology evolves extremely fast. The same applies to technology-
related professions, mostly in terms of skills requirements. Contradictorily, higher education …

Modelling learning objects (LO) within their context enables the learner to advance from a
basic, remembering-level, learning objective to a higher-order one, ie, a level with an …

In today's fast-evolving job market, the timely and effective understanding of the career
trajectories of talents can help them quickly develop necessary skills and make the right …