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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

International Journal of Information Retrieval Research (IJIRR)

International Journal of Information Retrieval Research (IJIRR)
An Official Publication of the Information Resources Management Association
Editor(s)-in-Chief: Ravi Jammalamadaka (eBay), Weidong Yang (Fudan University), Sabah Jassim (Bacukingham University), Yuhan Cai (A9.com Inc.), Yuanchun Shi (Tsinghua University), Shanmugasundaram Hariharan (Pavendar Bharathidasan College of Engineering and Technology), Kia Ng (University of Leeds), Chuming Chen (University of Delaware), Takashi Hasuike (Osaka University), Ibrahim Mohammad Dweib (Sultan Qaboos University), Michel Kamel (University of Nice), Wolfgang Renz (Hamburg University of Applied Science), Vishal Bhatnagar (Ambedkar Institute of Advance Communication Technologies & Research, India), Roger E. Eggen (University of North Florida), Nadine Baptiste-Jessel (IRIT - University Paul Sabatier), Jaafar Gaber (Universite de Technologie de Belfort-Montbeliard), Baydaa Taha Al-Hamadani (University of Huddersfield), Vamsi Salaka (eBay), Hamid Arabnia (University of Georgia), Carmen Costilla (Technical University of Madrid) and Zhongyu (Joan) Lu (University of Huddersfield, UK)
Published: Quarterly
Copyright: ©2011
DOI: 10.4018/IJIRR
ISSN: 2155-6377
EISSN: 2155-6385

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Description

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 applications in data, text, and document retrieval. Targeting information engineers, scientists, and related professionals, IJIRR integrates interdisciplinary and multidisciplinary needs for a complete approach to the significant issue of data retrieval in the era of information fusion.



Contents

Volume 2, Issue 2
Volume 2, Issue 1
Volume 1, Issue 4
Volume 1, Issue 3
Volume 1, Issue 2
Volume 1, Issue 1
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Mission

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. This journal exhibits expert experiences and state-of-the-art technologies in search and storage of texts, images, videos, and other data to stimulate innovation and exploration of improved approaches for conquering industry problems.

Coverage

Topics to be discussed in this journal include (but are not limited to) the following:

  • Classification
  • Clustering approaches
  • Filtering system
  • Index techniques
  • Link analysis
  • Machine learning on documents
  • Message passing
  • Metadata and XML retrieval
  • Multimedia retrieval
  • Performance measures
  • Query languages and optimization
  • Retrieval architecture
  • Retrieval evaluation
  • Retrieval languages and operations
  • Retrieval strategies
  • Retrieval systems
  • Retrieval theories
  • Scalability
  • Search algorithms
  • Search engine
  • Taxonomy theory and applications
  • Text, document, and image retrieval
  • Web mining
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    Editorial Review Board

    Associate Editors 
    Hamid R. Arabnia, The University of Georgia, USA
    Andrew Ball, University of Huddersfield, UK
    Takashi Hasuike, Osaka University, Japan
    Sabah Jassim, Bacukingham University, UK 
    Andy Marsh, HOIP, UK
    Peter Sloot, University of Amsterdam, The Netherlands
    Qiang Xu, Teesside University, UK
    Shaoyan Zhu, Tsinghua University, China

    International Editorial Review Board 
    Baydaa Al-Hamadani, University of Huddersfield, UK
    Vishal Bhatnagar, Ambedkar Institute of Advance Communication Technologies & Research, India
    Yuhan Cai, A9.com Inc., USA
    Chuming Chen, University of Delaware, USA
    Carmen Costilla, Technical University of Madrid, Spain
    Ibrahim Dweib, Sultan Qaboos University, Oman
    Roger E. Eggen, University of North Florida, USA
    Hiroaki Fukuda, Keio University, Japan
    Jaafar Gaber, Université de Technologie de Belfort-Montbéliard, France
    Shanmugasundaram Hariharan, TRP Engineering College (SRM Group), India
    Sean He, University of Technology, Australia
    Ravi Jammalamadaka, ebay, USA
    Nadine Jessel, University Paul Sabatier, France
    Ni Jun, The University of Iowa, USA
    Qu Junfeng, Clayton State University, USA
    Michel Kamel, University of Nice, France
    Elena Kozerenko, The Russian Academy of Sciences, Russia
    Stefania Marrara, University of Milan, Italy
    Andrea Morgera, Università degli Studi di Cagliari, Italy
    Kia Ng, University of Leeds, UK
    Wolfgang Renz, Hamburg University, Germany
    Vamsi Salaka, ebay, USA
    Weiming Sheng, National Research Council of Canada, Canada
    Yunchun Shi, Tsinghua University, China
    John B. Stav, Norwegian University for Technology and Science, Norway
    Hamish Taylor, Heriot-Watt University, UK
    Hariklia Tsalapatas, University of Patras, Greece
    Bezboruah Tulshi, Gauhati University, India
    Yuxin Wang, The University of Tokyo, Japan
    Weidong Yang, Fudan University, China
    Weizhong Yang, GE, USA
    Shaowen Yao, Yunnan University, China
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    Journal Indices

    Bacon's Media Directory
    ProQuest Advanced Technologies & Aerospace Journals
    ProQuest Computer Science Journals
    ProQuest Illustrata: Technology
    ProQuest SciTech Journals
    ProQuest Technology Journals
    Research Library
    The Standard Periodical Directory
    Ulrich's Periodicals Directory
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    Testimonials and Reviews

    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


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