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.
Institutions
- Jadavpur University (IN)
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
- 0.00