Mean Reciprocal Rank (MRR) calculates the reciprocal of the position where the correct result first appears, then averages it over all queries. The higher the rank, the closer the score is to 1. It is sensitive to first-hit capability and is a commonly used metric for ranking tasks such as information retrieval, recommendation, and knowledge graph completion. Higher values are better.