Information Retrieval Evaluation

Information Retrieval Evaluation involves measuring how well search systems or algorithms find relevant information. It uses specific tests and metrics—like precision (how many retrieved items are relevant) and recall (how many relevant items are retrieved)—to assess performance. By analyzing these metrics on test data, developers can understand how effectively a system returns useful results, improve its accuracy, and ensure users get the most relevant information quickly. This process is essential for refining search engines, digital libraries, and any tool that helps users find information efficiently.