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 study adopted machine learning-and text mining technology-based artificial intelligence
and current big data technology to analyze the trendiness of online discussion. Developing …

Recommender system plays a supporting role in the process of information filtering. It plays
a remarkable role in large-scale online shopping and product suggestions. This paper …

In the past few decades recommender system has reshaped the way of information filtering
between websites and the users. It helps in identifying user interest and generates product …

Recently, the internet has become the first destination as a recruitment market, which has
increased the number of job offers and resumes online. Recommendation systems are …

Connecting candidates and jobs to promote real placement opportunities is one of the most
impacting and challenging scenarios for Recommender Systems (RSs). A major concern …

The aim of our investigation is to personalize bilateral recommendation of job-related
proposals based on existing professional social networks. In a context where the points of …

This work is an attempt to collate the data and discover the foremost relevant candidate-job
association mapping concurring with the skills, interests, and preferences of a user and to …

Newly, the e-recruitment phenomenon has been widely spread, which led to the increase of
job descriptions online and caused a remarkable growth in the number of jobs seekers …