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 …

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 …

In this article, we introduce the\dataset dataset, a collection of implicit interactions and
impressions of movies and TV series from an Over-The-Top media service, which delivers its …

Person–job fit, which aims to predict the matching degree between a resume and a job, has
become an effective way to overcome information overload in the recruitment market …

In many personalized recommendation problems available data consists only of positive
interactions (implicit feedback) between users and items. This problem is also known as One …

Coordination failure reduces match quality among employers and candidates in the job
market, resulting in a large number of unfilled positions and/or unstable, short-term …

In the field of job recruitment, traditional recommendation methods only rely on users' rating
data of positions for information matching. This simple strategy has problems such as low …

Recently, lots of online recruitment sites emerged. It is difficult for people to find their
interested jobs only with keywords retrieving. An intelligent job recommendation system is …

Online job boards become one of the central components of the modern recruitment
industry. Existing systems are mainly focused on content analysis of resumes and job …