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International Journal of Information Retrieval Research (IJIRR)
Open Access Journal
Clarivate Impact Factor 1.1

International Journal of Information Retrieval Research (IJIRR)

This journal converted to Gold Open Access on January 1, 2022
Editor-in-Chief: Zhongyu Lu (University of Huddersfield, UK)
Indexed In: INSPEC, Web of Science Emerging Sources Citation Index (ESCI) and 16 more indices
Published: Continuous Volume |Established: 2011
ISSN: 2155-6377|EISSN: 2155-6385|DOI: 10.4018/IJIRR
Latest Published Articles
Published: Jul 14, 2023
DOI: 10.4018/IJIRR.325798
Volume 13
Ravindra Kumar Singh
The widespread adoption of opinion mining and sentiment analysis in higher cognitive processes encourages the need for real time processing of social media data to capture the insights about user's... Show More
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Singh, Ravindra Kumar. "Effective Information Retrieval Framework for Twitter Data Analytics." vol.13, no.1 2023: pp.1-21.


Singh, R. K. (2023). Effective Information Retrieval Framework for Twitter Data Analytics. , 13(1), 1-21.


Singh, Ravindra Kumar. "Effective Information Retrieval Framework for Twitter Data Analytics," 13, no.1: 1-21.

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Published: Jul 10, 2023
DOI: 10.4018/IJIRR.316131
Volume 12
Choukri Djellali, Mehdi Adda
In recent years, pattern recognition has become a research area with increasing importance using several techniques. One of the most common techniques used is deep learning. This paper presents a... Show More
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Djellali, Choukri, and Mehdi Adda. "A New Scalable Deep Learning Model of Pattern Recognition for Medical Diagnosis Using Model Aggregation and Model Selection." vol.12, no.1 2022: pp.1-16.


Djellali, C. & Adda, M. (2022). A New Scalable Deep Learning Model of Pattern Recognition for Medical Diagnosis Using Model Aggregation and Model Selection. , 12(1), 1-16.


Djellali, Choukri, and Mehdi Adda. "A New Scalable Deep Learning Model of Pattern Recognition for Medical Diagnosis Using Model Aggregation and Model Selection," 12, no.1: 1-16.

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Published: Jun 27, 2023
DOI: 10.4018/IJIRR.325072
Volume 13
Vikram Singh
In the information retrieval system, relevance manifestation is pivotal and regularly based on document-term statistics, i.e., term frequency (tf), inverse document frequency (idf), etc. Query term... Show More
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Singh, Vikram. "Promoting Document Relevance Using Query Term Proximity for Exploratory Search." vol.13, no.1 2023: pp.1-22.


Singh, V. (2023). Promoting Document Relevance Using Query Term Proximity for Exploratory Search. , 13(1), 1-22.


Singh, Vikram. "Promoting Document Relevance Using Query Term Proximity for Exploratory Search," 13, no.1: 1-22.

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Description, Mission, Scope & Coverage
The International Journal of Information Retrieval Research (IJIRR) publishes original, innovative, and creative research in the retrieval of information. This journal focuses on theories and methods with an enterprise-wide perspective and addresses interdisciplinary and multidisciplinary... Show More
Mission & Scope:
The mission of the International Journal of Information Retrieval Research (IJIRR) is to provide an outlet for researchers to present their research and obtain inspiration in the areas of information retrieval, computer science, and information science. Focusing on theories, methods, technologies, and tools, IJIRR is aimed towards information engineers, scientists, and related professionals.... Show More
  • Advanced software development related information retrieval issues
  • Classification
  • Clustering approaches
  • Content and context awareness and environment awareness
  • Filtering system
  • Index techniques
  • Information mining
  • Information retrieval in cloud computing issues
  • Information retrieval in education
  • Information retrieval in healthcare
  • Information retrieval in science, engineering, and technologies
  • Information retrieval in social science, social behaviors
  • Information retrieval with business, commerce, etc.
  • Information retrieval with Internet of Things
  • Knowledge mining
  • Link analysis
  • Machine learning on documents
  • Message passing
  • Metadata and XML retrieval
  • Mobile computing related information retrieval issues
  • Multimedia Retrieval
  • Performance Measures
  • Query languages and optimization
  • Retrieval architecture
  • Retrieval evaluation
  • Retrieval languages and operations
  • Retrieval strategies
  • Retrieval Systems
  • Retrieval theories
  • Retrieval with big data technologies
  • Scalability
  • Search algorithms
  • Search engine
  • Social media related information retrieval issues
  • Taxonomy theory and applications
  • Text Mining
  • Text, document, and image retrieval
  • Web Mining
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Submit to This Journal
This journal is currently actively seeking new submissions. Interested authors should ensure that their article manuscript adheres to the journal's submission guidelines and before you write page, which include originality of the manuscript, APA formatting information and examples, manuscript requirements, and more. To submit an article for consideration, please begin the submission process below.
Reviews & Statements

Along with the advances of the Internet, there are more data, information, knowledge, applications, and services to take-in, causing much confusion and bewilderment. How to accurately and reliably retrieve data is a challenge for future web applications and information engineers. IJIRR is dedicated to publishing the latest research in information gathering, web data mining, and automation systems showing the newest theoretical, technological, and methodological breakthroughs. IJIRR not only provides professionals with a platform in which to express their original research results, but also to allow the exchange of ideas and resources. I believe every issue of IJIRR will give the reader new insights and inspirations.

– Dr. Shaowen Yao, Prof. of Yunnan University, Vice Director of Discipline Construction Office, Fellow of China Institute of Communications
Submission-Related Inquiries
All inquiries regarding IJIRR should be directed to the attention of:

Zhongyu Lu
International Journal of Information Retrieval Research

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For inquiries involving publishing costs, APCs, etc., please contact the Open Access Division:

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Discoverability Inquiries
For inquiries involving sharing, promoting, and indexing of manuscripts, please contact the Citation Metrics & Indexing Division:

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