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Journal articles on the topic 'Applicant tracking systems ATS'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

PORNPITAKPAN, Chanthika. "AI-Proof & SEO-Smart CVs: Tackling Socio-Legal Contexts in 2025." Global Empirical Marketing Studies 1, no. 1 (2025): e6.2025.05.02. https://doi.org/10.5281/zenodo.15320293.

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Citing This Article: APA Style: Pornpitakpan, C. (2025). AI-proof & SEO-smart CVs: Tackling socio-legal contexts in 2025. Global Empirical Marketing Studies, 1(1), Article e6.2025.05.02. https:p//doi.org/10.5281/zenodo.15320293 In the rapidly evolving job market of 2025, Artificial Intelligence (AI) and Search Engine Optimization (SEO) are transforming how candidates are discovered and evaluated, while socio-legal contexts add new challenges. Applicant Tracking Systems (ATS) parse CVs, search engines rank online portfolios, recruiters access applications across diverse devices, and legal r

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Nasrin, Tamanna, and Divya K. Murthy. "An Analysis on Leveraging Technology in Recruitment Enhancing Sourcing Efficiency and Effectiveness in Dabster Consultancy Private Limited in BTM Layout, Bangalore." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40221.

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In this study, the Bangalore-based recruiting agency Dabster Consultancy Private Limited examines how technology might improve the efficacy and sourcing efficiency of its hiring procedures. Utilizing technology tools like applicant tracking systems (ATS), artificial intelligence (AI) for screening candidates, social media platforms, candidate relationship management (CRM) systems, and video interviewing platforms has become essential for enhancing recruitment results in today's cutthroat talent market. To analyse the research used a T-Test and Correlation as a statistical tool. The study looks

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Bevara, Ravi Varma Kumar, Nishith Reddy Mannuru, Sai Pranathi Karedla, et al. "Resume2Vec: Transforming Applicant Tracking Systems with Intelligent Resume Embeddings for Precise Candidate Matching." Electronics 14, no. 4 (2025): 794. https://doi.org/10.3390/electronics14040794.

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Conventional Applicant Tracking Systems (ATSs) encounter considerable constraints in accurately aligning resumes with job descriptions (JD), especially in handling unstructured data and intricate qualifications. We provide Resume2Vec, an innovative method that utilizes transformer-based deep learning models, including encoders (BERT, RoBERTa, and DistilBERT) and decoders (GPT, Gemini, and Llama), to create embeddings for resumes and job descriptions, employing cosine similarity for evaluation. Our methodology integrates quantitative analysis via embedding-based evaluation with qualitative huma

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Rasika, Patil. "Transitioning from Workday Recruiting to Eightfold ATS: Implementation Strategies and Best Practices." International Journal of Leading Research Publication 3, no. 11 (2022): 1–8. https://doi.org/10.5281/zenodo.14646753.

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Organizations face numerous challenges when transitioning from one Applicant Tracking System (ATS) to another, especially when moving to more advanced, AI-powered systems. This paper outlines the process of migrating from Workday Recruiting to Eightfold ATS, with a focus on implementation phases, strategies for a smooth transition, and best practices for leveraging Eightfold's capabilities to enhance the recruitment process. Additionally, lessons learned from migration are discussed. Eightfold’s AI-driven platform is designed to modernize recruitment through machine learning and deep ana

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P, Guru, Sivakami T, Bhuvaneswari J, Panneerselvam K, Gopalakrishnan S, and Rajandran K.V. R. "Intelligent applicant tracking: leveraging machine learning for recruitment automation." Revista Gestão & Tecnologia 25, no. 2 (2025): 126–46. https://doi.org/10.20397/2177-6652/2025.v25i2.3175.

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Recruitment is a crucial, time consuming process in talent acquisition, which begins with the scouring of the talent pool in pursuit of the best candidates. In traditional applicant tracking systems (ATS), searching is usually based on keywords, which could result in any system that filters out applications using these keywords leading to a biased or an inefficient shortlisting. In this research, we explore the development of an intelligent applicant tracking system using ML to automate the recruitment process. In the proposed system, natural language processing (NLP) is used to analyze and ra

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Bhavsar, Dr S. A. "Automated Resume Parsing using Name Entity Recognition." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03365.

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Abstract - The traditional hiring process often involves manually reviewing numerous resumes, making recruitment time-consuming and costly. To address this challenge, we propose an Automated Resume Parsing System using Named Entity Recognition (NER), an advanced Natural Language Processing (NLP) technique. Our system efficiently extracts key information, such as candidate names, skills, education, and work experience, from unstructured resume data, enabling structured representation and faster decision-making. By automating resume screening, our approach significantly reduces hiring costs and

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Samruddhi, Farsole Sagar Darne Kunal Barahate Vaishnavi Bhute Rhutik Khode Minal Pazare Prof. R. V. Chaudhari. "Modern Real - Time Resume Analysis and Job Suggestion System Using NLP and Machine Learning Algorithm." International Journal of Advanced Innovative Technology in Engineering 10, no. 2 (2025): 134–37. https://doi.org/10.5281/zenodo.15422895.

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This paper is about in today's highly competitive job market job seekers face significant challenges in optimizing their resumes to pass Applicant Tracking Systems (ATS) and align with job requirements. Many resumes are rejected due to missing keywords, improper formatting, or a lack of ATS-friendly structures, making it difficult for qualified candidates to secure interviews. To address this issue, we present an AI-powered resume analysis system that enhances job matching efficiency by leveraging natural language processing (NLP) and machine learning. This system extracts key skills, qualific

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Ligi-Goryaev, V. V., G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, and V. V. Dzhakhnaev. "Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems." Sovremennaya nauka i innovatsii, no. 1 (45) (2024): 32–41. http://dx.doi.org/10.37493/2307-910x.2024.1.3.

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The abstract describes the construction of a binary classification model for predicting the type of job advertisement in cloud-based ATS (Applicant Tracking Systems) as either legitimate or fraudulent. Various machine learning algorithms can be employed to address this issue. Traditional classification algorithms, including LSVC (Support Vector Machine), GBT (Gradient Boosting Tree), and RF (Random Forest), have been chosen for this study. One approach to building such a model involves identifying and collecting relevant attributes or features that can help distinguish fraudulent job advertise

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N, Sasikumar. "AI-Powered Opportunity Crafter: Unlocking Smart Career Possibilities." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5032–37. https://doi.org/10.22214/ijraset.2025.68844.

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The job market is highly competitive, making it challenging for job seekers, including students, fresh graduates, and professionals, to secure employment. Traditional job search methods lack efficiency, personalization, and real-time feedback, often leaving candidates unprepared for Applicant Tracking Systems (ATS) and interviews. To address these challenges, we propose an AI-Powered Opportunity Crafter, an intelligent job assistant that leverages Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML) to enhance job seekers' success rates., The system consis

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Booma, S., S. Jenithakarthiga, Cheran V., Dhanasekar Dhanasekar, and Dharshini S. "A Comparative Study on Traditional Hiring Practices and Technology- Enhanced Recruitment Strategies at Schneider Company." International Journal of Research and Scientific Innovation XII, no. VI (2025): 1209–12. https://doi.org/10.51244/ijrsi.2025.12060097.

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The recruitment landscape has evolved from traditional methods to technology-driven strategies. This research paper compares traditional hiring practices, like job postings and in-person interviews, with technology-enhanced approaches, such as applicant tracking systems (ATS), social media recruiting, and AI-powered tools. While traditional methods face limitations like time consumption and potential biases, technology offers streamlined processes and wider candidate engagement. By reviewing literature and case studies, the paper highlights the strengths and weaknesses of both approaches and e

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Dr. J. JayaPriya, Mouleeswaran R, Kishore T, Praveen G, and Arjun N. "Smart AI Resume Analyzer." International Journal of Scientific Research in Science, Engineering and Technology 12, no. 3 (2025): 879–83. https://doi.org/10.32628/ijsrset2512147.

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In today’s technology-driven recruitment ecosystem, job seekers face increasing challenges due to the widespread use of Applicant Tracking Systems (ATS) by employers. These systems filter out resumes that do not meet specific formatting or keyword criteria, often discarding qualified candidates in the process. The Smart AI Resume Analyzer is an innovative solution developed to bridge this gap by providing an intelligent platform that evaluates and enhances resumes using Natural Language Processing (NLP) and machine learning. The platform performs real-time scoring of resumes based on keyword r

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Ligi-Goryaev, V. V., G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, and E. N. Dzhakhnaeva. "Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems." Sovremennaya nauka i innovatsii, no. 1 (49) (2025): 51–62. https://doi.org/10.37493/2307-910x.2025.1.4.

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The abstract describes the construction of a binary classification model for predicting the type of job advertisement in cloud-based ATS (Applicant Tracking Systems) as either legitimate or fraudulent. Various machine learning algorithms can be employed to address this issue. Traditional classification algorithms, including LSVC (Support Vector Machine), GBT (Gradient Boosting Tree), and RF (Random Forest), have been chosen for this study. One approach to building such a model involves identifying and collecting relevant attributes or features that can help distinguish fraudulent job advertise

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K, ChethanKumar, and SHRUTHI MURTHY. "AN ANALYSIS OFTHE DIGITAL TOOLS IMPACT ON HR PROCESS WITH SPECIAL REFERENCE TO SARTORIUS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40184.

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This study examines the impact of digital tools on HR processes at Sartorius, a global leader in biopharmaceutical solutions, focusing on areas such as recruitment, onboarding, training, performance management, and employee retention. By leveraging quantitative surveys and qualitative interviews with HR professionals at Sartorius Nelamangala, the research highlights how tools like applicant tracking systems (ATS), human resource information systems (HRIS), and learning management systems (LMS) enhance operational efficiency, decision-making, and employee engagement. While digital tools streaml

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Sujit Das, Dr, Ananya S Nair, and Pattela Aneesh. "AI Resume Analyzer: Smart Resume Evaluation and Enhancement." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44548.

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This paper presents an AI-driven resume analyzer designed to streamline and enhance the job candidate assessment process. The system utilizes Natural Language Processing (NLP) techniques and machine learning algorithms to process and evaluate resumes efficiently. By extracting key information, calculating an ATS compatibility score, identifying grammar errors, and providing improvement suggestions, the analyzer aims to assist both job seekers and recruiters optimize the resume screening process. The platform also evaluates resumes against job-specific requirements and offers curated resources,

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Shivhare, Kratika. "ResumeCraft: A Machine Learning-powered Web Platform for Resume Building." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 1154–66. http://dx.doi.org/10.22214/ijraset.2024.61731.

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Abstract: The competitive job market necessitates well-crafted resumes that resonate with both human recruiters and Applicant Tracking Systems (ATS). This paper introduces ResumeCraft, a web-based platform empowering users to build strong resumes and optimize them for ATS compatibility. ResumeCraft leverages Machine Learning (ML) for data analysis and user guidance, while the user interface is built with Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), and JavaScript for a user-friendly experience. The system allows users to input their personal and professional details through

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Wadne, Dr Vinod S. "AI-Powered Interview Xpert: An Intelligent Platform for Interviews, Resumes, and Portfolios." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48010.

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In the modern job market, standing out requires more than just qualifications—it demands excellent interview skills, strong resumes, and an impressive portfolio. This project introduces an AI-powered platform aimed at helping job seekers and students excel in these critical areas. The platform combines three key components: a Mock Interview Assistant, a Resume Generator, and a Portfolio Creator—each enhanced with artificial intelligence to deliver tailored feedback and data-driven support. The Mock Interview module simulates realistic interview environments by customizing questions based on th

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Dimas Bagus Susanto and Said Hamzali. "The Role of Technology in Improving the Effectiveness of Employee Recruitment and Selection." Journal of Economic Education and Entrepreneurship Studies 5, no. 3 (2024): 421–34. http://dx.doi.org/10.62794/je3s.v5i3.3800.

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This research explores the role of technology in improving the effectiveness of employee recruitment and selection. Against the background of the importance of an effective recruitment and selection process for organizational performance, this research focuses on identifying the latest technologies that can optimize the process and evaluating their impact on speed, cost, and accuracy in employee selection. A qualitative approach with a literature study method was used to extract information from various relevant sources. The results show that the use of technologies such as applicant tracking

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Deeptha, R., Dey Abirup, G. S. G. R. Gowtham, and Tripathi Abhishek. "Resume screening using NLP." i-manager's Journal on Information Technology 13, no. 3 (2024): 37. https://doi.org/10.26634/jit.13.3.21339.

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Resume screening is a critical step in the recruitment process, traditionally relying on manual review to assess candidates' qualifications. The advent of Natural Language Processing (NLP) has introduced advanced techniques to enhance this process by automating and optimizing resume evaluation. This paper explores the application of NLP in resume screening, focusing on methods such as keyword extraction, semantic analysis, and machine learning models. It discusses how NLP algorithms can identify relevant skills, experiences, and qualifications by analyzing the textual content of resumes. Furth

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UPENDRA, CH, and Dr PRK RAJU. "A STUDY ON RECRUITMENT AND SELECTION PRACTICES OF ANDHRA PRADESH PAPER MILLS LIMITED, UNIT: KADIYAM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/ijsrem39557.

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Recruitment and selection are critical processes in human resource management that aim to identify, attract, and hire the best candidates for organizational roles. Effective recruitment ensures a diverse and qualified candidate pool, while a well-structured selection process helps organizations choose the most suitable individuals. The recruitment process involves job advertising, sourcing candidates, and engaging with potential employees through various channels, including digital platforms, job fairs, and networking. Selection, on the other hand, focuses on assessing candidates through inter

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Mukhtar, Afiah, and Masradin Masradin. "Bagaimana Teknologi Era 4.0 Menerapkan Rekrutmen? (Kajian Manajemen Sumber Daya Manusia)." Paraduta : Jurnal Ekonomi dan Ilmu-Ilmu Sosial 1, no. 2 (2023): 77–89. https://doi.org/10.56630/paraduta.v1i2.479.

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Tren teknologi digital akibat Industri 4.0 mempengaruhi bidang manajemen sumber daya manusia sehingga penelitian ini bertujuan untuk bagaimana teknologi canggih ini mengubah pendekatan dan pengelolaan aspek penting dari sumber daya manusia yang semakin terhubung dengan digital, serta memberikan wawasan, rekomendasi dan panduan praktis yang bernilai bagi organisasi dalam mengadopsi teknologi tersebut. Metode yang digunakan yaitu penelitian kepustakaan (library research) melibatkan evaluasi kritis dan mendalam terhadap sumber-sumber pustaka yang relevan dengan konten makalah, seperti jurnal dan

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Suci Nuralita, Rulistya Maharani, Mochamad Reza, Aulia Puspa Ayu, Tini Ulan Dari, and Muhammad Saepul Adnan. "Pengaruh Rekrutmen, Seleksi Berbasis Nilai Islam dan Digitalisasi HR terhadap Kinerja Karyawan : Systematic Literature Review." Jurnal Ilmiah Manajemen dan Kewirausahaan 4, no. 2 (2025): 461–76. https://doi.org/10.55606/jimak.v4i2.4731.

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This study aims to examine the influence of Islamic value-based recruitment and selection on employee performance, with HR digitalization as a moderating variable. A Systematic Literature Review (SLR) approach was used by following the PRISMA guidelines to compile, screen, and analyze articles from various national and international academic databases published between 2021 and 2025. From a total of 226 identified articles, 25 met the inclusion criteria and were analyzed further. The findings indicate that most of the reviewed literature supports a positive and significant influence of Islamic

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Rajeswari, Dr PVN. "An Artificial Intelligence Powered Interview Preparation System using MERN Stack." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 7018–22. https://doi.org/10.22214/ijraset.2025.70056.

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The Artificial Intelligence Preparation System is designed to support job seekers by enhancing their aptitude, data structures, and algorithm (DSA) skills while also providing AI-powered resume optimization and mock interviews. In today’s competitive job market, candidates often face challenges in finding structured preparation resources, refining their resumes, and gaining realistic interview practice. This system tackles these issues using Machine Learning (ML) and Natural Language Processing (NLP) technologies. It features three main components: a Prebuilt Question Bank, an AI-Powered Resum

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TERENTIEVA, Nataliia, Denys PAVLOV, and Maksym TVERDOKHLIB. "INTEGRATION OF DIGITAL TOOLS AND ARTIFICIAL INTELLIGENCEINTO HR MANAGEMENT PROCESSES." Herald of Khmelnytskyi National University. Economic sciences 334, no. 5 (2024): 624–29. https://doi.org/10.31891/2307-5740-2024-334-94.

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Nowadays, companies are forced to quickly adapt to market changes and effectively use digital innovations to optimize operations and rationally use human resources. Given that human capital is the main asset of modern companies, they must apply the latest methods of personnel management to increase efficiency and adaptability in a changing business environment. DMS (document management system) acts as a single platform for storing, accessing and managing all company documents. DMS is easily integrated with HR systems, which simplifies the management of personnel processes and document flow in

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Dhumal, Prof Jyoti. "Connect Edge: Employment Services Applications." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 756–68. https://doi.org/10.22214/ijraset.2025.72182.

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Abstract: Campus placements play a crucial role in bridging the gap between education and employment. Traditional placement systems often rely on manual processes, fragmented tools, and lack personalized interaction between stakeholders such as students, companies, and administrators. To address these limitations, we present Connect Edge—a comprehensive, full-stack web application designed to automate, streamline, and enhance the campus placement process using modern technologies and AI integration. Connect Edge features role-based dashboards for Admin, Student, and Company users, allowing sec

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Pandey, Ritambhara. "The Impact of Artificial Intelligence on Talent Acquisition and Employee Experience in Modern Organizations." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49805.

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ABSTRACT In the digital age, Artificial Intelligence (AI) has emerged as a transformative force in reshaping human resource management, particularly in the domains of talent acquisition and employee experience. This study investigates the impact of AI-powered tools and technologies on recruitment strategies, candidate engagement, and the overall experience of employees in modern organizations. The research aims to assess how AI enhances recruitment efficiency, reduces biases, and improves decision-making processes while also evaluating its influence on employee satisfaction, onboarding, engage

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Onukwugha, Chinwe, Christopher Ofoegbu, Obinna Aliche, and Chidi Betrand. "Resume Optimization Model Using Machine Learning Techniques." International Journal of Intelligent Information Systems 13, no. 5 (2024): 109–16. http://dx.doi.org/10.11648/j.ijiis.20241305.12.

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In the contemporary job market, where competition is fierce and employers are inundated with an ever-growing pool of resumes, the need for effective resume optimization has become paramount. Resumes serve as the first point of contact between job seekers and potential employers, playing a pivotal role in shaping initial perceptions. However, the traditional approach to resume crafting often lacks a systematic and data-driven methodology. A well-crafted resume plays a crucial role in securing employment opportunities. However, crafting an effective resume that resonates with both human recruite

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Bhavani, P. Ganga. "Find Your Dream Work." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40987.

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Job searching is a multifaceted process that encompasses various strategies, tools, and techniques to secure employment. The modern job market demands a comprehensive understanding of digital platforms, effective networking, and the ability to tailor applications to specific roles. This abstract delves into the essential components of successful job searching, highlighting the importance of online job portals, resume optimization, networking, and interview preparation Key Components of Job Searching: Online Job Portals: The rise of technology has transformed job searching, with online job port

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Pandey, Shweta, and Sumit Pandey. "Bridging the Gap in Recruitment Integration: A Comprehensive Approach to Syncing Workday and Greenhouse for Effective Position Management." International Journal of Business Quantitative Economics and Applied Management Research 7, no. 4 (2022): 12–22. https://doi.org/10.5281/zenodo.14176030.

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In the era of digital transformation, organizations increasingly adopt cloud technologies such as 'Software as a Service' (SaaS) to enhance agility, lower costs, scale effectively, and reduce administrative efforts. SaaS solutions often come with built-in integrations with other SaaS offerings, minimizing the need for custom integrations. However, these integrations do not always address the real-world scenarios faced by different organizations. Workday and Greenhouse are two leading SaaS solutions used for Human Capital Management (HCM) and Applicant Tracking System (ATS), respectively. Many

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G. Venkateshwaran,. "Artificial Intelligence in HR: Transforming Recruitment and Selection in IT Industry." Journal of Information Systems Engineering and Management 10, no. 17s (2025): 38–45. https://doi.org/10.52783/jisem.v10i17s.2705.

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e integration of Artificial Intelligence (AI) in Human Resource Management (HRM) has revolutionized traditional recruitment and selection processes, particularly in the IT industry, where rapid technological advancements demand a skilled and dynamic workforce. AI-driven recruitment systems leverage machine learning, natural language processing (NLP), and predictive analytics to enhance efficiency, reduce hiring biases, and improve decision-making. This study explores the transformative role of AI in recruitment and selection within the IT sector, highlighting its benefits, challenges, and futu

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Chavan, Prasad R., Yash Chandurkar, Ankita Tidake, Gaurav Lavankar, Suhani Gaikwad, and Rohit Chavan. "Enhancing recruitment efficiency: An advanced Applicant Tracking System (ATS)." Industrial Management Advances 2, no. 1 (2024): 6373. http://dx.doi.org/10.59429/ima.v2i1.6373.

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The Applicant Tracking System (ATS), also known as a talent management system or job applicant tracking system, is a software application designed to facilitate more efficient recruitment processes for companies or selection agencies. The objective of ATS is to streamline various aspects of the recruiting process, from receiving applications to hiring employees and effectively manage recruitment needs electronically. Methodologies such as NLP and KNN models are used for automated resume parsing and classifying the resume from unstructured format to structured format. The final results found si

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Marlita, Devi, Sri Handayani, Erni Pratiwi Perwitasari, Muhammad Ridwan Azis, and Yosua Hamonangan. "Socialization Applicant Tracking System (ATS) and ATS Curriculum Vitae for ITL Trisakti and General Students." Asian Journal of Community Services 3, no. 2 (2024): 287–94. http://dx.doi.org/10.55927/ajcs.v3i2.8080.

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The method used for the program is through socialization and knowledge sharing about the Applicant Tracking System (ATS) in the form of case examples and tips online because the implementation of the events was still in the PPKM period. The Implementation of the activity was centered at ITL Trisakti, East Jakarta and participants could take part online. The purpose of the socialization is to prepare basic knowledge for students and the general public about ATS and its derivative applications. As a result of these activities, participants understand more about ATS. And start updating their prof

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Омарова, Н. О., and А. А. Эчилова. "Research of problems of automation of personnel selection." Экономика и предпринимательство, no. 3(128) (May 13, 2021): 1079–81. http://dx.doi.org/10.34925/eip.2021.128.3.213.

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На сегодняшний день одним из актуальных направлений совершенствования рекрутинга является внедрение автоматизированной системы подбора (ATS), которая позволяет повысить качество подбора и одновременно снизить нагрузку на одного специалиста по подбору персонала, а так же рационально перераспределить объем работы между всеми специалистами отдела кадров. One of the topical directions of the improvement today is the introduction of an Applicant Tracking System (ATS), which will help improve the quality of selection and at the same time to reduce the load per recruiter, plus efficiently redistribut

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Saurabh Yadav, Sushrut ursal, Aadesh Thade, Sonali Tate, and Prof. Minal Nerkar. "Resume Analysis Using NLP and ATS Algorithm." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 4 (2025): 761–67. https://doi.org/10.51583/ijltemas.2025.140400090.

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Abstract: In today’s competitive job market, efficient and accurate resume screening is crucial for recruiters and hiring managers. Traditional manual resume review processes are time-consuming and prone to human error, which can lead to overlooking qualified candidates. This project aims to develop an automated system for resume analysis using Python, Natural Language Processing (NLP), and Applicant Tracking System (ATS) algorithms. The proposed solution leverages NLP techniques to extract key information from resumes, such as personal details, educational background, work experience, and ski

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Dubey, Ankit. "INTELLIPREP: AI Powered Interview Preparation and Resume Evaluator." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem02939.

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In today’s highly competitive job market, students face significant challenges in resume preparation and interview readiness due to the lack of structured tools and personalized feedback. Traditional methods are often time- consuming, inefficient, and fail to meet modern hiring expectations. Recruiters also encounter difficulties in resume screening, evaluation consistency, and interview scheduling. To address these challenges, IntelliPrep offers an AI-powered solution that automates key aspects of the interview preparation process. The platform integrates resume parsing and evaluation, utiliz

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Saprit Anand and Abhijeet Kumar Giri. "Optimizing Resume Design for ATS Compatibility: A Large Language Model Approach." International Journal on Smart & Sustainable Intelligent Computing 1, no. 2 (2024): 49–57. https://doi.org/10.63503/j.ijssic.2024.33.

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The modern hiring process increasingly relies on Application Tracking Systems (ATS) to sort and evaluate resumes based on organizational preferences. However, many skilled and competent candidates fail to craft resumes that are ATS optimized, leading to missed opportunities. This study explores the potential of Large Language Models (LLMs) to enhance ATS compatibility in resumes. Using Natural Language Processing (NLP) techniques, LLMs analyze resumes to identify errors, recommend suitable keywords, enhance semantic alignment, and format content to meet ATS requirements. Evaluation results dem

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Rao, Akhila, Shailashri V. T, Molly Sanjay Chaudhuri, and Kondru Sudheer Kumar. "Contemporary Employee Recruitment Practices and Areas of Future Research in Indian Railways." Think India 22, no. 2 (2019): 745–63. http://dx.doi.org/10.26643/think-india.v22i2.8878.

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The modern business milieu is highly competitive due to vast technological advancement which makes employees a vital source of competitive advantage. Precisely, the recruitment process has become a key determinant of an organization’s success and a logistic capital resource to the human resource; thus, the process should be entirely modern. A conventional recruitment and selection process comprises of job analysis, manpower planning, and recruitment and selection. The current study seeks to explore employee recruitment practices and proposes areas of future research in Indian Railways using se

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Koshti, Harsh, Prathamesh Gosavi, Roshan Pagar, Prathamesh Khairnar, and Sopan Talekar. "AI-Powered Interview Preparation System: Integrating Resume Analysis, HR Simulation, and Technical Skill Assessment." Journal of Engineering Research and Reports 27, no. 5 (2025): 21–33. https://doi.org/10.9734/jerr/2025/v27i51489.

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This article presents an AI-powered interview preparation system designed to objectively collect and evaluate candidate responses. The solution automates key stages of the interview process, enhancing recruitment efficiency through real-time emotion detection using Convolutional Neural Networks (CNN), natural language processing (NLP) for resume analysis, and speech recognition for response evaluation. The system integrates with an Applicant Tracking System (ATS) for resume screening, an HR interview simulator focusing on communication and behavioural skills, and a technical assessment module

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Erna Wulandari, Anggun Indriyani, Dwi Wahyu Ningrum, Rhelvia Ambarwati, and Rauly Sijabat. "Systematic Literature Review (SLR) : Pengaruh Pengembangan Digital E-Recruitment Terhadap Seleksi Penerimaan Karyawan Baru." Jejak digital: Jurnal Ilmiah Multidisiplin 1, no. 3 (2025): 385–93. https://doi.org/10.63822/sbqffc05.

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Perkembangan teknologi digital telah merevolusi berbagai aspek bisnis, termasuk dalam proses rekrutmen karyawan. Digital e-recruitment menjadi solusi inovatif dalam manajemen sumber daya manusia dengan memanfaatkan platform digital untuk menarik, menyeleksi, dan merekrut kandidat secara efisien. Penelitian ini menggunakan metode Systematic Literature Review (SLR) dengan pendekatan PRISMA untuk menganalisis pengaruh digital e-recruitment terhadap proses seleksi penerimaan karyawan baru. Data diperoleh dari berbagai jurnal dan buku yang relevan dalam lima tahun terakhir. Hasil kajian menunjukkan

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Suningsih, Sri, Lidya Ayuni Putri, Ernie Hendrawaty, Agrianti Komalasari, Susi Sarumpaet, and Winia Waziana. "Pelatihan Pembuatan Curriculum Vitae dalam Bahasa Inggris yang Berbasis Application Tracking System." Jurnal Nusantara Mengabdi 3, no. 2 (2024): 85–93. http://dx.doi.org/10.35912/jnm.v3i2.2979.

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Purpose: One of the most important aspects of creating professional human resources in a company is the recruitment process, in which the company selects the right candidates with the skills and qualifications needed by the company. Applicants who come from college graduates must be able to adapt and be competitive to enter the world of work, and must know and understand how to format a CV that can meet company standards. In line with this, this community service activity aims to provide training in making CVs in English based on the Application Tracking System (ATS). Methodology/approach: The

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Mohan, Anergha K., Thomas John, and Nikhil P S. "Contextual Conversational Intelligence : Leveraging Language Models For College Chatbot By Retrieval Augmented Generation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem38284.

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By harnessing the capabilities of Large Language Models (LLM), the proposed system evolves into a sophisticated conversational agent, capable of understanding nuanced user inputs, providing context-aware responses, and delivering an unparalleled level of engagement. This chatbot is also equipped to assess a student's likelihood of being accepted into a specific program at the college using a machine learning (ML) model. The model analyzes the student's rank and eligible quota (such as reserved categories) in conjunction with historical admission data to gauge their chances of acceptance. It al

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Madanchian, Mitra. "From Recruitment to Retention: AI Tools for Human Resource Decision-Making." Applied Sciences 14, no. 24 (2024): 11750. https://doi.org/10.3390/app142411750.

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HR decision-making is changing as a result of artificial intelligence (AI), especially in the areas of hiring, onboarding, and retention. This study examines the use of AI tools throughout the lifecycle of an employee, emphasizing how they enhance the effectiveness, customization, and scalability of HR procedures. These solutions streamline employee setup, learning, and documentation. They range from AI-driven applicant tracking systems (ATSs) for applicant selection to AI-powered platforms for automated onboarding and individualized training. Predictive analytics also helps retention and perf

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M Dheo Fuady and Tundo. "Optimalisasi Teknoologi N8N dalam Pengembangan Aplikasi Penilaian CV ATS-COMPLIANT untuk Evaluasi Kelayakan Siswa SMK." Jurnal Tekno Kompak 19, no. 2 (2025): 142–54. https://doi.org/10.33365/jtk.v19i2.72.

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Perkembangan teknologi digital di Indonesia telah memberikan dampak signifikan dalam berbagai aspek kehidupan, termasuk sektor rekrutmen yang kini banyak mengadopsi sistem otomatis seperti Applicant Tracking System (ATS). Sayangnya, banyak siswa Sekolah Menengah Kejuruan (SMK) masih menghadapi kesulitan dalam menyusun curriculum vitae (CV) yang sesuai standar ATS, baik dari segi struktur maupun isi. Ketidaksiapan ini menandakan adanya kesenjangan pemahaman terkait format dan konten CV yang efektif menurut kebutuhan industri. Menanggapi permasalahan tersebut, penelitian ini bertujuan mengembang

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Navarro, Gloribeth. "Fair and Ethical Resume Screening: Enhancing ATS with JustScreen the ResumeScreeningApp." Journal of Information Technology, Cybersecurity, and Artificial Intelligence 2, no. 1 (2025): 1–7. https://doi.org/10.70715/jitcai.2024.v2.i1.001.

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Abstract— In today's fast-paced job market, the efficiency and fairness of the resume screening process are paramount. "JustScreen" emerges as a cutting-edge solution leveraging advanced Natural Language Processing (NLP) to automate resume evaluation, thus eliminating biases and promoting merit-based candidate selection. This thesis explores JustScreen's innovative approach to integrating NLP and machine learning algorithms to enhance the recruitment workflow, ensuring a more streamlined, unbiased, and efficient candidate assessment process. The methodology involves several key components: dat

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S, Vinod Kumar, and Dr Janardhan G. Shetty. "A Comparative Analysis on Recruitment and Selection Process at Chennai Shoes and Industrial Supplies LLP, T Nagar Chennai." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40225.

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This study investigates the recruitment and selection practices at Chennai Shoes and Industrial Supplies LLP, located in T. Nagar, Chennai, with a focus on evaluating the effectiveness of their current strategies and identifying areas for improvement. The research combines both qualitative and quantitative methods to assess the organization's recruitment sources, selection techniques, and overall efficiency. A t-test is employed to compare the effectiveness of two key recruitment strategies: Traditional interviews and Online recruitment platforms. The objective is to determine whether there is

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Wu, Ling, Yongrong Sun, Kedong Zhao, and Xiyu Fu. "A Novel Vision-Based PRPL Multistage Image Processing Algorithm for Autonomous Aerial Refueling." Wireless Communications and Mobile Computing 2021 (November 10, 2021): 1–13. http://dx.doi.org/10.1155/2021/2778857.

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Autonomous aerial refueling (AAR) technology can increase the flight endurance of unmanned air vehicles (UAVs) effectively. Drogue detection and target tracking method are significant for probe-drogue refueling system in the docking stage. This paper proposes a novel vision-based multistage image processing algorithm of drogue detection and target tracking for AAR. This algorithm divides the whole task into four stages: preprocessor, recognizer, predictor, and locker (PRPL). The adaptive threshold segmentation (ATS) algorithm and support vector machine (SVM) classifier are utilized in preproce

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Laumer, Sven, Christian Maier, and Andreas Eckhardt. "The impact of business process management and applicant tracking systems on recruiting process performance: an empirical study." Journal of Business Economics 85, no. 4 (2014): 421–53. http://dx.doi.org/10.1007/s11573-014-0758-9.

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Eveleth, Daniel M., and Hayley Eveleth. "Job-Seeker Reactions to Rejection Emails." International Journal of Technology and Human Interaction 17, no. 3 (2021): 1–15. http://dx.doi.org/10.4018/ijthi.2021070101.

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The authors examined participant reactions to rejection emails. Those participants who evaluated emails that provided information in an interpersonally-sensitive manner with an opportunity for future interaction reported significantly higher attitudes toward the recruiter than did those who evaluated emails that were low in information sensitivity and interactivity. In addition, the effect of email type on word-of-mouth intentions toward the company was mediated by participant attitudes toward the recruiter. These results provide implications for organizations that are focusing on the efficien

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Lacour, S., R. Dembet, R. Abuter, et al. "The GRAVITY fringe tracker." Astronomy & Astrophysics 624 (April 2019): A99. http://dx.doi.org/10.1051/0004-6361/201834981.

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Context. The GRAVITY instrument was commissioned on the VLTI in 2016 and is now available to the astronomical community. It is the first optical interferometer capable of observing sources as faint as magnitude 19 in K band. This is possible through the fringe tracker, which compensates the differential piston based on measurements of a brighter off-axis astronomical reference source. Aims. The goal of this paper is to describe the main developments made in the context of the GRAVITY fringe tracker. This could serve as basis for future fringe-tracking systems. Methods. The paper therefore cove

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IJBTSR. "Impacts de la Digitalisation sur la fonction RH : Proposition d'un Modèle Conceptuel de Recherche." International Journal of Business and Technology Studies and Research 5, no. 2 (2024): 10 pages. https://doi.org/10.5281/zenodo.10527979.

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<em>La digitalisation a profondément transformé la Fonction des Ressources Humaines (FRH), jouant un rôle central dans l'efficacité organisationnelle. Cette révolution redéfinit la manière dont les entreprises gèrent leurs fonctions, des ressources humaines,  et cela devient possible grâce à l'utilisation d'outils digitaux performants tels que, l'Intelligence Artificielle (IA), Applicant Tracking System (ATS), Robotic Process Automation (RPA), les Réseaux Sociaux (RS)... . La digitalisation de la FRH ne se limite p

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Ilkin, Taghiyev, and Jae Heung Lee. "Detecting Fake Job Recruitment with a Machine Learning Approach." Korean Institute of Smart Media 12, no. 2 (2023): 36–41. http://dx.doi.org/10.30693/smj.2023.12.2.36.

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With the advent of applicant tracking systems, online recruitment has become more popular, and recruitment fraud has become a serious problem. This research aims to develop a reliable model to detect recruitment fraud in online recruitment environments to reduce cost losses and enhance privacy. The main contribution of this paper is to provide an automated methodology that leverages insights gained from exploratory analysis of data to distinguish which job postings are fraudulent and which are legitimate. Using EMSCAD, a recruitment fraud dataset provided by Kaggle, we trained and evaluated va

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