Mean Average Precision

Mean Average Precision (MAP) is a performance metric used in information retrieval systems to evaluate the quality of ranked retrieval results. MAP is calculated by taking the average of the Average Precision (AP) scores for all queries in a dataset.

In information retrieval, a query is typically a user's search request, and AP measures the precision of the retrieved documents for that query at each position in the ranked list of results.

MAP is a useful metric because it considers the precision of the retrieval results for all queries in the dataset, not just a single query. A higher MAP score indicates better performance of the retrieval system.

MAP is commonly used in evaluating the effectiveness of search engines, recommender systems, and other information retrieval systems.