Semantic Media Search Evaluation Protocol

Semantic Media Search Evaluation Protocol

A semantic media-search evaluation starts with a frozen corpus, index, model, configuration, and representative query set. Each query needs an information need and graded relevance judgments created without seeing which system produced the result.

Compare semantic retrieval with a lexical or current-product baseline. Record precision at the visible cutoff, recall where a defensible relevant set exists, reciprocal rank or discounted cumulative gain, latency, no-result behavior, duplicate rate, coverage, and reviewer disagreement.

The test must also inspect private-item leakage, deleted-item persistence, permission filtering, unsafe media, misleading captions, missing modalities, adversarial metadata, and recovery after an incorrect result. Offline relevance is evidence about retrieval quality, not proof of user value.