Recruitment AI Glossary
The vocabulary of the modern hiring landscape.
Deep OCR
Optical Character Recognition that goes beyond simple text extraction, using AI to understand the layout, structure, and intent of complex PDF and Word documents.
Contextual Analysis
An AI evaluation method that looks at the surrounding text to understand the depth and seniority of a skill, rather than just its presence.
Weighted Scoring
A system where specific criteria (like 'Management Experience' or 'Technical Skills') are given percentage weights to calculate a total fit score.
ATS (Applicant Tracking System)
Software used by recruiters to manage the hiring process. SkipCV represents a 'Next-Gen ATS' or 'AI Matching Layer' that sits on top of traditional workflows.
NLP (Natural Language Processing)
A branch of AI that helps computers understand, interpret, and generate human language, used in SkipCV to 'read' resumes like a human would.
Keyword Stuffing
A tactic where candidates add hidden or excessive keywords to their resumes to trick older ATS filters. SkipCV is designed to identify and ignore this behavior.
Candidate Ranking
The automated process of ordering applicants based on their objective match to a job description's core requirements.
Semantic Search
A data searching technique that understands the intent and contextual meaning of words, allowing you to find 'Cloud Experts' even if they only mention 'distributed systems' or 'SRE'.
Unconscious Bias
Implicit prejudices that affect human judgment. AI helps mitigate this by focusing strictly on skills and experience data rather than demographic signals.
Recruitment Automation
The use of technology to handle repetitive hiring tasks, such as initial screening, allowing recruiters to focus on high-value human interaction.
Talent Acquisition
A strategic approach to finding and hiring top talent, moving beyond simple 'recruitment' into long-term organizational planning.
LLM (Large Language Model)
The foundational AI technology (like GPT or Claude) that allows SkipCV to read and interpret natural human language in resumes with high precision.
GDPR Compliance
General Data Protection Regulation. A framework that ensures candidate data is handled with privacy, consent, and the right to erasure at its core.
Soft Skills Analysis
The evaluation of non-technical traits like leadership, communication, and adaptability through the context of professional accomplishments.
Data Extraction
The process of pulling structured data (names, emails, dates) from unstructured documents like PDF resumes.
Hiring Workflow
The end-to-end series of steps a candidate goes through, from initial application to final offer.