Mean Reciprocal Rank (MRR) is a statistical measure used to evaluate the effectiveness of information retrieval systems, specifically focusing on the ranking of relevant documents. It calculates the average of the reciprocal ranks of the first relevant result for a set of queries, providing insight into how well a system retrieves pertinent information. MRR is particularly useful in scenarios where there is a single relevant answer expected for each query, helping to assess the performance of search algorithms or recommendation systems.
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