Mean Average Precision (MAP) is a metric used to evaluate the performance of information retrieval systems, particularly in tasks like ranking search results. It calculates the average precision across multiple queries and helps to assess how well a system retrieves relevant documents while considering the order of those documents. This measure is especially important in text indexing and retrieval models as well as in passage retrieval and ranking, where the goal is to ensure that users find the most relevant information quickly and efficiently.
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