A Comparative Analysis of IR and MLIR Systems Performance Assessment - Sujatha, Pothula;Dhavachelvan, P.;Balasubramanian, A.
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MLIR systems can facilitate the researchers and the end users to discover appropriate information in the preferred language. Due to the versatile applicability of MLIR systems, these systems require careful and thorough evaluations to demonstrate their desired performance. Therefore, the work reported in this book describes the greater efforts that are taken to develop a set of Metrics under Binary Retrieval and Ranked Relevance scheme for Evaluating the Performance of MLIR Systems. An Empirical and Statistical analysis is done to validate the proposed metrics under specified scheme of IR systems.…mehr

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Produktbeschreibung
MLIR systems can facilitate the researchers and the end users to discover appropriate information in the preferred language. Due to the versatile applicability of MLIR systems, these systems require careful and thorough evaluations to demonstrate their desired performance. Therefore, the work reported in this book describes the greater efforts that are taken to develop a set of Metrics under Binary Retrieval and Ranked Relevance scheme for Evaluating the Performance of MLIR Systems. An Empirical and Statistical analysis is done to validate the proposed metrics under specified scheme of IR systems.
Autorenporträt
Dr. Sujatha Pothula is working as Assistant Professor in the Department of Computer Science, Pondicherry University, India. She completed her Ph.D., M.Tech, and B.Tech in Computer Science and Engineering, Pondicherry University, Puducherry, India. She has 8+ years of experience in Research and Teaching.