Published:
December 05, 2019
Category:
Design / Technology
Client:
JICA
ITEE Passer CV bank system
How it Works
Automatic CV sorting system streamlines the recruitment process, improves the quality of candidate matches, and enhances the overall efficiency of talent acquisition efforts for organizations.
Process & Results
Resume Parsing: The system uses natural language processing (NLP) algorithms to extract relevant information from resumes, such as education history, work experience, skills, and contact details.
Keyword Matching: The system compares the extracted information against a set of keywords or phrases relevant to the job description. Keywords may include specific skills, qualifications, job titles, and industry terms.
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Ranking and Scoring: Each resume is assigned a score or ranking based on how well it matches the job requirements and criteria. Resumes with higher scores are prioritized for further review by recruiters or hiring managers.
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Filtering and Categorization: Resumes that meet or exceed a certain threshold score are filtered into different categories, such as “highly qualified,” “qualified,” and “not qualified.” Recruiters can then focus their attention on the top candidates.
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Integration with Applicant Tracking Systems (ATS): The system may integrate with ATS platforms to seamlessly transfer sorted resumes into the recruiting workflow. This ensures that all candidate data is centralized and easily accessible to hiring teams.
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Machine Learning and Adaptability: Advanced automatic CV sorting systems may leverage machine learning algorithms to continuously improve their performance over time. They can learn from past hiring decisions and adjust their criteria for sorting resumes accordingly.
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Customization and Flexibility: Recruiters can customize the sorting criteria based on the specific requirements of each job opening. They can define preferred qualifications, experience levels, certifications, and other parameters to tailor the sorting process to their needs.
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Time and Cost Savings: By automating the initial screening process, automatic CV sorting systems save recruiters time and effort, allowing them to focus on engaging with top candidates and conducting more meaningful interviews. This efficiency also reduces the time-to-hire and overall recruitment costs.
