matching-baseline

Deterministic CV-to-JD matching provides rule-based scoring with full explainability across criteria. It generates per-criterion breakdowns so you can transparently trace how resume and job description match outputs are calculated.

Rule-based resume matching applies explicit scoring logic and weightings instead of black-box algorithms. You need per-criterion breakdowns when matching outputs require transparency, auditability, or integration with existing tests and code references.

You can customize scoring logic and weightings for CV and job description matching by adjusting the rule-based parameters. This allows you to tune match outputs and per-criterion evaluations to fit specific transparency requirements.

Explainable CV/JD matching integrates with existing tests and code references. The deterministic rule-based approach ensures that scoring logic and match outputs remain consistent and verifiable within your current testing and development environment.

Use deterministic matching for resume screening when you require explainable, transparent results rather than probabilistic outputs. Rule-based scoring ensures that every match decision between a CV and JD is traceable and auditable across criteria.

Rule-based matching for CV and JD evaluation relies on predefined scoring logic and weightings, meaning it cannot infer semantic context or hidden patterns like machine learning models. It is strictly deterministic and requires manual adjustment of rules.