Optimization of Information Retrieval in Digital Libraries on the Basis of Influent Analysis
dc.contributor.author | Rakhmatullaev, Marat | |
dc.contributor.editor | Metzger, Lawrence | |
dc.contributor.editor | Yap, Joseph M. | |
dc.contributor.editor | Dautova, Anar | |
dc.contributor.editor | Tendik, Yermekpayeva | |
dc.date.accessioned | 2019-06-11T08:57:51Z | |
dc.date.available | 2019-06-11T08:57:51Z | |
dc.date.issued | 2019-06-06 | |
dc.description.abstract | The aim of the research is to increase the efficiency of information retrieval for scientific and educational information in electronic libraries of corporate networks based on the application of the influent analysis method. Influential analysis allows: identify the most important indicators that need to be given the most attention, allocate funds to optimize the total efficiency score; Manage some factors to improve work of a system; Reduce the impact of those indicators that we can’t influence (manage) at present time.The application of the method is especially effective for the development of a corporate network of academic libraries in order to improve the speed of information retrieval and the exchange of valuable scientific resources. | en_US |
dc.identifier.citation | Rakhmatullaev M. (2019) Optimization of Information Retrieval in Digital Libraries on the Basis of Influent Analysis. The 8th International Conference on Emerging Global Trends in University Library Development (ICEGTULD 2019), 127-136. | en_US |
dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/3900 | |
dc.language.iso | ru | en_US |
dc.publisher | The 8th International Conference on Emerging Global Trends in University Library Development (ICEGTULD 2019) | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.subject | Research Subject Categories::SOCIAL SCIENCES::Other social sciences::Library and information science | en_US |
dc.subject | digital library | en_US |
dc.subject | influential analysis | en_US |
dc.subject | automated library system | en_US |
dc.subject | information support | en_US |
dc.subject | data search optimization | en_US |
dc.subject | databases | en_US |
dc.subject | search criteria for information | en_US |
dc.subject | information environment | en_US |
dc.subject | электронная библиотека | en_US |
dc.subject | инфлюентный анализ | en_US |
dc.subject | автоматизированная | en_US |
dc.subject | библиотечная система | en_US |
dc.subject | информационное обеспечение | en_US |
dc.subject | оптимизация поиска данных | en_US |
dc.subject | базы данных | en_US |
dc.subject | критерии поиска информации | en_US |
dc.subject | информационная среда | en_US |
dc.title | Optimization of Information Retrieval in Digital Libraries on the Basis of Influent Analysis | en_US |
dc.type | Article | en_US |
workflow.import.source | science |
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