Parameters for Evaluating an Information Retrieval System (IRS)

This work explains the key parameters used to evaluate Information Retrieval Systems (IRS), including precision, recall, F-measure, fallout, response time, coverage, user satisfaction, and generality. It discusses the concepts, formulas, importance, and limitations of major evaluation measures such as recall and precision. The study also highlights the foundational contributions of leading information scientists like Gerard Salton, Karen Spärck Jones, Robertson, and others in developing retrieval models and evaluation techniques. Overall, the work presents a clear understanding of how IRS performance is measured for accuracy, completeness, and user effectiveness.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-15
DOI
https://doi.org/10.5281/zenodo.17826903
Primary Topic
Information Retrieval and Search Behavior
Type
article
Field-Weighted Citation Impact
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article

Parameters for Evaluating an Information Retrieval System (IRS)

Zenodo (CERN European Organization for Nuclear Research)
Information Retrieval and Search Behavior
article

Parameters for Evaluating an Information Retrieval System (IRS)

article en

Abstract

This work explains the key parameters used to evaluate Information Retrieval Systems (IRS), including precision, recall, F-measure, fallout, response time, coverage, user satisfaction, and generality. It discusses the concepts, formulas, importance, and limitations of major evaluation measures such as recall and precision. The study also highlights the foundational contributions of leading information scientists like Gerard Salton, Karen Spärck Jones, Robertson, and others in developing retrieval models and evaluation techniques. Overall, the work presents a clear understanding of how IRS performance is measured for accuracy, completeness, and user effectiveness.

Zenodo (CERN European Organization for Nuclear Research)
Jadavpur University (IN)
Openalex Percentile: Top 29%
Information Retrieval and Search Behavior
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