A comprehensive survey of artificial intelligence techniques for talent analytics
In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …
organizations to rethink how to make talent-related decisions in a quantitative manner …
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 …
Resume classification system using natural language processing and machine learning techniques
The selection of a suitable job applicant from the pool of thousands applications is often
daunting job for an employer. The categorization of job applications submitted in form of …
daunting job for an employer. The categorization of job applications submitted in form of …
Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations
Effective candidates screening is critical for any IT firm as it impacts the future growth and
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …
A combined representation learning approach for better job and skill recommendation
Job recommendation is an important task for the modern recruitment industry. An excellent
job recommender system not only enables to recommend a higher paying job which is …
job recommender system not only enables to recommend a higher paying job which is …
Help me find a job: A graph-based approach for job recommendation at scale
Online job boards are one of the central components of modern recruitment industry. With
millions of candidates browsing through job postings everyday, the need for accurate …
millions of candidates browsing through job postings everyday, the need for accurate …
Skills prediction based on multi-label resume classification using CNN with model predictions explanation
Skills extraction is a critical task when creating job recommender systems. It is also useful for
building skills profiles and skills knowledge bases for organizations. The aim of skills …
building skills profiles and skills knowledge bases for organizations. The aim of skills …
A machine learning approach to recognize bias and discrimination in job advertisements
In recent years, the work of organizations in the area of digitization has intensified
significantly. This trend is also evident in the field of recruitment where job application …
significantly. This trend is also evident in the field of recruitment where job application …
[HTML][HTML] Prediction of recommendations for employment utilizing machine learning procedures and geo-area based recommender framework
B Parida, P KumarPatra, S Mohanty - Sustainable Operations and …, 2022 - Elsevier
With increment in the utilization of Internet, the pace of increment of social networks is
getting ubiquitous in recent years. This paper focuses on the job portal websites. The …
getting ubiquitous in recent years. This paper focuses on the job portal websites. The …
ConFit: Improving resume-job matching using data augmentation and contrastive learning
A reliable resume-job matching system helps a company find suitable candidates from a
pool of resumes, and helps a job seeker find relevant jobs from a list of job posts. However …
pool of resumes, and helps a job seeker find relevant jobs from a list of job posts. However …