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 …

This paper presents a job recommender system to match resumes to job descriptions (JD),
both of which are non-standard and unstructured/semi-structured in form. First, the paper …

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 …

In Recommender Systems, impressions are a relatively new type of information that records
all products previously shown to the users. They are also a complex source of information …

Job recommender systems (JRS) are a subclass of information filtering systems that aims to
help job seekers identify what might match their skills and experiences and prevent them …

Recommender systems (RS) are among the most widely used applications in data mining
and machine-learning technologies. These technologies recommend relevant products to …

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 …

In location-based social network platforms, the point-of-interest (POI) recommendation is an
essential function to serve users. The existing POI recommendation algorithms are rarely …

With the development of mobile Internet, many location-based services have accumulated a
large amount of data that can be used for point-of-interest (POI) recommendation. However …