Semantic Search (Recruiting)

Semantic search in recruitment is a technology used in applicant tracking systems (ATS) and recruitment software to identify candidates based on meaning and context rather than exact keyword matches.

Unlike keyword-based search, semantic search analyzes skills, experience, and synonyms to better understand candidate profiles. It is often powered by artificial intelligence and natural language processing (NLP).

Examples of Use Cases

• Identifying candidates with equivalent skills expressed differently
• Improving matching between resumes and job postings
• Reducing the risk of overlooking qualified candidates

Main Benefits for Recruiters

Semantic search saves time, improves candidate selection quality, and enhances recruiter efficiency. It also supports more accurate and fair hiring decisions.