A challenge-based survey of e-recruitment recommendation systems
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 …
recruiters. The recommendations are generated based on the suitability of job seekers for …
[HTML][HTML] AI based suitability measurement and prediction between job description and job seeker profiles
GM Sridevi, SK Suganthi - International Journal of Information Management …, 2022 - Elsevier
Hiring a suitable candidate for a certain job is highly demanding and requires several
intense processes. Many organizations face challenges to hire a suitable candidate as they …
intense processes. Many organizations face challenges to hire a suitable candidate as they …
Technical job recommendation system using APIs and web crawling
There has been a sudden boom in the technical industry and an increase in the number of
good startups. Keeping track of various appropriate job openings in top industry names has …
good startups. Keeping track of various appropriate job openings in top industry names has …
Information technology job profile using average-linkage hierarchical clustering analysis
The growth in Information Technology (IT) jobs is predicted to reach 15 percent between
2021 and 2031. The growth of IT jobs has resulted in a remarkable change in all …
2021 and 2031. The growth of IT jobs has resulted in a remarkable change in all …
Navigating techniques in job recommender systems on internship profile matching: a systematic review
FP Poncio - Journal of Research in Innovative Teaching & Learning, 2024 - emerald.com
Purpose This review article is focused on the following research questions: RQ1: What are
the methods used by authors to collect data in order to evaluate one's profile? RQ2: What …
the methods used by authors to collect data in order to evaluate one's profile? RQ2: What …
Measuring employer attractiveness in diverse talent markets
Previous work has measured employer attractiveness via proxies, such as the number of
new hires or employee sentiment mined from surveys and reviews. The first drawback of …
new hires or employee sentiment mined from surveys and reviews. The first drawback of …
Job Applications Selection and Identification: Study of Resumes with Natural Language Processing and Machine Learning
A Pimpalkar, A Lalwani, R Chaudhari… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
For each job ad, the organization received a high number of applicants. Finding the right
person's application from various applications is a time-consuming task for any company …
person's application from various applications is a time-consuming task for any company …
How to choose one's career? a proposal for a smart career profiler system to improve practices from romanian educational institutions
In today's society, students and recent graduates are often struggling with finding a suitable
job. Furthermore, worldwide population ageing, the constantly decreasing number of high …
job. Furthermore, worldwide population ageing, the constantly decreasing number of high …
Schizophrenia more employable than depression? Language-based artificial intelligence model ratings for employability of psychiatric diagnoses and somatic and …
Artificial Intelligence (AI) assists recruiting and job searching. Such systems can be biased
against certain characteristics. This results in potential misrepresentations and consequent …
against certain characteristics. This results in potential misrepresentations and consequent …
Personalized Career-Path Recommendation Model for Information Technology Students in Indonesia
One of the challenging decisions for students is taking a job specialization. To make their
decisions, they use subjective perceptions of friends or family due to the lack of guidance …
decisions, they use subjective perceptions of friends or family due to the lack of guidance …