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Information Journal Paper

Title

Future of Textual Information Retrieval Systems

Pages

  12-26

Abstract

 Purpose: To identify factors influencing the future of text Information retrieval systems/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Information retrieval systems with a forward-looking approach. Methodology: Document analysis and survey are used to identify factors. The research population in the document analysis section consists of literature related to the textual Information retrieval field and in the survey section consists of the specialists in Information retrieval. Purposive sampling is applied in both sections. Findings: The results reveal that among the examined indicators, technology index is the most important index in the future of Information retrieval systems/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Information retrieval systems. in technology index, artificial intelligence with an importance factor of 93 in the political index, copyright with 86 importance factor; in the sociocultural index, business reliance on the information with 87 importance factor; and in the economic index, programs associated with 86 importance factor are among the highest. Conclusion: Information science professionals should concentrate more on all key identified factors if they want to have a more effective contributive role in the future of Information retrieval systems/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Information retrieval systems/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Textual Information retrieval systems/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Information retrieval systems, because knowing the past, understanding the present, and focusing on these existing factors can make the future more effectively.

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    • Cite

    APA: Copy

    Asadnia, a., CHESHMEH SOHRABI, M., SHABANI, A., ASEMI, A., & TAHERI DEMNEH, M.. (2020). Future of Textual Information Retrieval Systems. LIBRARIANSHIP AND INFORMATION ORGANIZATION STUDIES (JOURNAL OF NATIONAL STUDIES ON LIBRARIANSHIP AND INFORMATION ORGANIZATION), 31(3 (123) ), 12-26. SID. https://sid.ir/paper/956328/en

    Vancouver: Copy

    Asadnia a., CHESHMEH SOHRABI M., SHABANI A., ASEMI A., TAHERI DEMNEH M.. Future of Textual Information Retrieval Systems. LIBRARIANSHIP AND INFORMATION ORGANIZATION STUDIES (JOURNAL OF NATIONAL STUDIES ON LIBRARIANSHIP AND INFORMATION ORGANIZATION)[Internet]. 2020;31(3 (123) ):12-26. Available from: https://sid.ir/paper/956328/en

    IEEE: Copy

    a. Asadnia, M. CHESHMEH SOHRABI, A. SHABANI, A. ASEMI, and M. TAHERI DEMNEH, “Future of Textual Information Retrieval Systems,” LIBRARIANSHIP AND INFORMATION ORGANIZATION STUDIES (JOURNAL OF NATIONAL STUDIES ON LIBRARIANSHIP AND INFORMATION ORGANIZATION), vol. 31, no. 3 (123) , pp. 12–26, 2020, [Online]. Available: https://sid.ir/paper/956328/en

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