Current Volume 9
Abstract
Automated resume screening and job recommendation systems have emerged as important applications of Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) in modern recruitment processes. These systems aim to automate candidate evaluation by extracting relevant information from resumes and matching it with job requirements, thereby reducing manual effort, screening time, and recruitment costs [1], [2], [21]. Recent advancements in NLP techniques, including named entity recognition, semantic similarity computation, transformer-based language models, and Large Language Models (LLMs) have significantly improved the efficiency and accuracy of candidate-job matching [11], [23], [24], [29]. This survey reviews recent developments in automated resume screening and job recommendation systems published between 2018 and 2026. A detailed analysis of representative studies is presented, focusing on their objectives, methodologies, limitations, and research contributions. The survey identifies common challenges such as limited semantic understanding, lack of large-scale benchmark datasets, insufficient fairness evaluation, and dependence on keyword-based matching approaches [1], [4], [8], [10], [35]. Based on these findings, a conceptual research framework is proposed to integrate advanced NLP techniques with fairness-aware candidate ranking mechanisms. The survey provides valuable insights for researchers and practitioners interested in developing intelligent, explainable, and transparent recruitment systems [11], [12], [30].
Keywords
Resume Screening, NLP, Job Recommendation, Candidate Ranking, Semantic Matching, Fairness, Recruitment Analytics.
Citations
IRE Journals:
Bhashkar Biswas, Dr. Tariq Siddiqui "A Comprehensive Survey on Automated Resume Screening System Using NLP" Iconic Research And Engineering Journals Volume 9 Issue 12 2026 Page 2161-2169 https://doi.org/10.64388/IREV9I12-1719089
IEEE:
Bhashkar Biswas, Dr. Tariq Siddiqui
"A Comprehensive Survey on Automated Resume Screening System Using NLP" Iconic Research And Engineering Journals, 9(12) https://doi.org/10.64388/IREV9I12-1719089
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