Post-Calibration Reliability Reranking of Relevance Decisions via Label-wise Monotone Projection

Web search, product search, and question-answering retrieval systems often assign a relevance label and confidence score to each query-candidate pair. The relevance label describes how well a page, product, or passage matches the query, while the confidence often guides downstream use or fallback decisions. Post-hoc calibration is therefore needed because misaligned confidence can make systems over-trust wrong predictions or unnecessarily defer correct ones. However, calibration mainly aligns co

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ethics.ai (11 August 2026), “Post-Calibration Reliability Reranking of Relevance Decisions via Label-wise Monotone Projection,” evidence record 18698, https://ethics.ai/record/18698 (originally published by arXiv cs.LG).

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