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Resume Parser using hybrid approach to enhance the efficiency of Automated Recruitment Processes
11 references·1 citing·28 second hop
Resume Parser using hybrid approach to enhance the efficiency of Automated Recruitment Processes (2023)Resume Parser using hybrid approach to en…Resume Screening using Machine Learning and NLP: A proposed system (2022)Resume Screening using Machin…Resume Parser with Natural Language Processing (2021)Resume Parser with Natural La…Design and development of machine learning based resume ranking system (2021)Design and development of mac…A Contextual Model for Information Extraction in Resume Analytics Using NLP’s Spacy (2021)A Contextual Model for Inform…NLP based Extraction of Relevant Resume using Machine Learning (2020)NLP based Extraction of Relev…Automatic Extraction of Segments from Resumes using Machine Learning (2020)Automatic Extraction of Segme…A Machine Learning approach for automation of Resume Recommendation system (2020)A Machine Learning approach f…Web Application for Screening Resume (2019)Web Application for Screening…End-to-End Resume Parsing and Finding Candidates for a Job Description using BERT (2019)End-to-End Resume Parsing and…Combination of Neural Networks and Conditional Random Fields for Efficient Resume Parsing (2018)Combination of Neural Network…A Hybrid Approach to Conceptual Classification and Ranking of Resumes and Their Corresponding Job Posts (2017)A Hybrid Approach to Conceptu…Resume Optimization Model Using Machine Learning Techniques (2024)Resume Optimization Model Usi…Application of Machine Learning Algorithms to an online Recruitment System (2012)On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV (2013)Matching GitHub Developer Profiles to Job Advertisements (2015)Automatic Software Engineering Position Resume Screening using Natural Language Processing, Word Matching, Character Positioning, and Regex (2022)PROSPECT (2010)Towards an automated system for intelligent screening of candidates for recruitment using ontology mapping (EXPERT) (2013)Matching Resumes to Jobs via Deep Siamese Network (2018)An end-to-end framework for information extraction from Italian resumes (2022)Automated Resume Parsing: A Natural Language Processing Approach (2023)JRC: A Job Post and Resume Classification System for Online Recruitment (2017)Improved Resume Parsing based on Contextual Meaning Extraction using BERT (2023)Resume Classification Using ML Techniques (2023)A Two-Step Resume Information Extraction Algorithm (2018)An Interactive Interview Bot for Human Resource Interviewing (2023)HR Tech Analyst: Automated Resume Parsing and Ranking System through Natural Language Processing (2023)The Employment Interview Context: Social and Situational Influences on Interviewer Decisions1 (1996)A fuzzy model for competency-based employee evaluation and selection (2007)AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening (2025)Recruitment Prediction using Machine Learning (2020)Automated Resume Parsing and Job Domain Prediction using Machine Learning (2023)Application of LLM Agents in Recruitment: A Novel Framework for Automated Resume Screening (2024)Automated Resume Parsing and Ranking using Natural Language Processing (2024)An Overview of Fairness in Clustering (2021)A machine learning-based human resources recruitment system for business process management: using LSA, BERT and SVM (2022)The Power of Artificial Intelligence in Recruitment: An Analytical Review of Current AI-Based Recruitment Strategies (2023)Intelligent Recruitment System Using NLP (2021)Resume Parser and Job Recommendation System using Machine Learning (2024)Resume Validation and Filtration using Natural Language Processing (2021)
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References

  • 2020A Machine Learning approach for automation of Resume Recommendation system217 cited
  • 2021Design and development of machine learning based resume ranking system59 cited
  • 2018Combination of Neural Networks and Conditional Random Fields for Efficient Resume Parsing46 cited
  • 2019End-to-End Resume Parsing and Finding Candidates for a Job Description using BERT40 cited
  • 2019Web Application for Screening Resume39 cited
  • 2022Resume Screening using Machine Learning and NLP: A proposed system38 cited
  • 2017A Hybrid Approach to Conceptual Classification and Ranking of Resumes and Their Corresponding Job Posts28 cited
  • 2021Resume Parser with Natural Language Processing27 cited
  • 2020NLP based Extraction of Relevant Resume using Machine Learning26 cited
  • 2020Automatic Extraction of Segments from Resumes using Machine Learning22 cited
  • 2021A Contextual Model for Information Extraction in Resume Analytics Using NLP’s Spacy18 cited

Cited by

  • 2024Resume Optimization Model Using Machine Learning Techniques14 cited

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