Parameters of IRS

Parameters for evaluating an Information Retrieval System (IRS) measure how effectively the system retrieves and presents relevant information to users. Key evaluation factors include recall, precision, response time, user effort, form of presentation, and collection coverage. These parameters help determine system performance, accuracy, usability, and efficiency in meeting user information needs. Evaluation ensures that retrieval systems provide relevant results quickly while minimizing irrelevant information, thereby improving user satisfaction and supporting effective access to knowledge resources in libraries and digital information environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-03
DOI
https://doi.org/10.5281/zenodo.18466810
Primary Topic
Information Retrieval and Search Behavior
Type
article
Field-Weighted Citation Impact
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Parameters of IRS

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

Parameters of IRS

Kakoli Soren
article en

Abstract

Parameters for evaluating an Information Retrieval System (IRS) measure how effectively the system retrieves and presents relevant information to users. Key evaluation factors include recall, precision, response time, user effort, form of presentation, and collection coverage. These parameters help determine system performance, accuracy, usability, and efficiency in meeting user information needs. Evaluation ensures that retrieval systems provide relevant results quickly while minimizing irrelevant information, thereby improving user satisfaction and supporting effective access to knowledge resources in libraries and digital information environments.

Zenodo (CERN European Organization for Nuclear Research)
Jadavpur University (IN)
Quality Education
Openalex Percentile: Top 78%
Information Retrieval and Search Behavior
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