Glossary
Definition
What is semantic resume matching?
Semantic resume matching scores how well a candidate fits a role by comparing the meaning of their experience to the job using AI embeddings, rather than matching exact keywords.
Keyword matching misses candidates who describe the same skill in different words. Semantic matching uses vector embeddings to compare meaning, so relevant experience is recognized even when the wording differs. Orbis applies it in the relevance stage of screening, scoring candidates across five weighted dimensions: skills, experience, education, projects and seniority fit.
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