The journal provides an international forum for the publication of theory, algorithms, analysis and experiments across the broad area of information retrieval. Topics of interest include search, indexing, analysis, and evaluation for applications such as the web, social and streaming media, recommender systems, and text archives. This includes research on human factors in search, bridging artificial intelligence and information retrieval, and domain-specific search applications.

The Information Retrieval Journal features theoretical, experimental, analytical and applied articles. Theoretical articles report a significant conceptual advance in the design of algorithms or other processes for some information retrieval task. Experimental articles detail a test of one or more theoretical ideas in a laboratory or natural setting. Analytical articles report on the results of detailed analysis of searcher behavior and opinions across a range of settings and methodologies, including user studies, surveys and log analysis. Application articles cover successful application of some already established technique to a significant real-world problem involving information retrieval.

Information retrieval overlaps with a variety of technical and behavioral fields. As a result, the journal includes articles which unify concepts across several traditional disciplinary boundaries, with specific application to problems of information retrieval.

Journal information

Editors-in-Chief
  • Leif Azzopardi,
  • Tetsuya Sakai,
  • Ryen W. White
Publishing model
Hybrid. Learn about publishing OA with us

Journal metrics

2.209 (2019)
Impact factor
2.190 (2019)
Five year impact factor
46 days
Submission to first decision
312 days
Submission to acceptance
57,407 (2019)
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Latest issue

Volume 23

Issue 5, October 2020

Special Issue on Mining Actionable Insights from Online User Generated Content

Latest articles

  1. Authors (first, second and last of 8)

    • Spencer Bryson
    • Heidar Davoudi
    • Morteza Zihayat
    • Content type: Mining Actionable Insights from Online User Generated Content
    • Pages: 502 - 524
This journal has 28 open access articles

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About this journal

Electronic ISSN
1573-7659
Print ISSN
1386-4564
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  10. EBSCO Information Science & Technology Abstracts (ISTA)
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  37. TD Net Discovery Service
  38. UGC-CARE List (India)
  39. WTI Frankfurt eG
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