Evaluation measures in IR are metrics used to assess how effectively a system retrieves relevant content. Common measures include precision (exactness of results), recall (completeness), F1-score, precision at k, recall at k, average precision, and mean average precision (mAP). These metrics help quantify performance in both offline and user-based evaluations.
What is Relevance in Information Retrieval?
In information retrieval, relevance is a measure of how well retrieved content meets the user's information need. It enc...
What are Precision and Recall?
Precision measures the percentage of retrieved documents that are relevant to a query, while Recall measures the percent...
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