Feedback Loop

Updated February 22, 2026

Feedback Loop describes how recommendation scoring, confidence, rationale text, and evidence metadata are generated in Unfair.

Why it matters

This term explains how the model ranks options and why some bundles are shown before others.

Unfair uses this term in onboarding signals, ranking output, rationale snippets, and recommendation refresh flows.

Recommendation Refresh describes how recommendation scoring, confidence, rationale text, and evidence metadata are generated in Unfair.

Personalization Weight describes how recommendation scoring, confidence, rationale text, and evidence metadata are generated in Unfair.

Recommendation Engine describes how recommendation scoring, confidence, rationale text, and evidence metadata are generated in Unfair.