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JRC: A Job Post and Resume Classification System for Online Recruitment
3 references·6 citing·27 second hop
JRC: A Job Post and Resume Classification System for Online Recruitment (2017)JRC: A Job Post and Resume Classification…Matching GitHub Developer Profiles to Job Advertisements (2015)Matching GitHub Developer Pro…Towards an automated system for intelligent screening of candidates for recruitment using ontology mapping (EXPERT) (2013)Towards an automated system f…On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV (2013)On-line consistent ranking on…Resume2Vec: Transforming Applicant Tracking Systems with Intelligent Resume Embeddings for Precise Candidate Matching (2025)Resume2Vec: Transforming Appl…ResuméAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models (2024)ResuméAtlas: Revisiting Resum…Automated Resume Parsing: A Natural Language Processing Approach (2023)Automated Resume Parsing: A N…A domain adaptation approach for resume classification using graph attention networks and natural language processing (2023)A domain adaptation approach …Resume Classification using various Machine Learning Algorithms (2022)Resume Classification using v…Web Application for Screening Resume (2019)Web Application for Screening…Linguistic styles: Language use as an individual difference. (1999)An integrated e‐recruitment system for automated personality mining and applicant ranking (2012)LinkedIn “Big Four”: Job Performance Validation in the ICT Sector (2019)Systematic literature review of professional social media platforms: Development of a behavior adoption career development framework (2022)A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics (2025)Making the most of on-line recruiting. (2001)An architecture for a next-generation holistic e-recruiting system (2007)Recruiters’ Perceptions and Use of Applicant Résumé Information: Screening the Recent Graduate (2007)A Two-Step Resume Information Extraction Algorithm (2018)End-to-End Resume Parsing and Finding Candidates for a Job Description using BERT (2019)Design and development of machine learning based resume ranking system (2021)Mining Text Data (2012)Activity traces and signals in software developer recruitment and hiring (2013)Mining People Analytics from StackOverflow Job Advertisements (2017)A topological analysis of communication channels for knowledge sharing in contemporary GitHub projects (2019)Extracting Knowledge From On-Line Sources for Software Engineering Labor Market: A Mapping Study (2019)Resume Classification System using Natural Language Processing and Machine Learning Techniques (2022)Resume Parsing Framework for E-recruitment (2022)Resumate: A Prototype to Enhance Recruitment Process with NLP based Resume Parsing (2023)2015 IEEE First International Conference on Big Data Computing Service and Applications (2015)Artificial Intelligence Techniques in Human Resource Management—A Conceptual Exploration (2015)AI-enabled recruiting: What is it and how should a manager use it? (2019)A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring (2024)Resume Screening using Machine Learning and NLP: A proposed system (2022)Improved Resume Parsing based on Contextual Meaning Extraction using BERT (2023)Resume Classification Using ML Techniques (2023)Resume Screening With Natural Language Processing (NLP) (2024)
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References

  • 2013On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV95 cited
  • 2015Matching GitHub Developer Profiles to Job Advertisements92 cited
  • 2013Towards an automated system for intelligent screening of candidates for recruitment using ontology mapping (EXPERT)64 cited

Cited by

  • 2025Resume2Vec: Transforming Applicant Tracking Systems with Intelligent Resume Embeddings for Precise Candidate Matching41 cited
  • 2019Web Application for Screening Resume39 cited
  • 2022Resume Classification using various Machine Learning Algorithms37 cited
  • 2023A domain adaptation approach for resume classification using graph attention networks and natural language processing29 cited
  • 2024ResuméAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models27 cited
  • 2023Automated Resume Parsing: A Natural Language Processing Approach25 cited

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