Optimization of Information Retrieval in Digital Libraries on the Basis of Influent Analysis

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dc.contributor.authorRakhmatullaev, Marat
dc.contributor.editorMetzger, Lawrence
dc.contributor.editorYap, Joseph M.
dc.contributor.editorDautova, Anar
dc.contributor.editorTendik, Yermekpayeva
dc.date.accessioned2019-06-11T08:57:51Z
dc.date.available2019-06-11T08:57:51Z
dc.date.issued2019-06-06
dc.description.abstractThe 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.citationRakhmatullaev 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.urihttp://nur.nu.edu.kz/handle/123456789/3900
dc.language.isoruen_US
dc.publisherThe 8th International Conference on Emerging Global Trends in University Library Development (ICEGTULD 2019)en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectResearch Subject Categories::SOCIAL SCIENCES::Other social sciences::Library and information scienceen_US
dc.subjectdigital libraryen_US
dc.subjectinfluential analysisen_US
dc.subjectautomated library systemen_US
dc.subjectinformation supporten_US
dc.subjectdata search optimizationen_US
dc.subjectdatabasesen_US
dc.subjectsearch criteria for informationen_US
dc.subjectinformation environmenten_US
dc.subjectэлектронная библиотекаen_US
dc.subjectинфлюентный анализen_US
dc.subjectавтоматизированнаяen_US
dc.subjectбиблиотечная системаen_US
dc.subjectинформационное обеспечениеen_US
dc.subjectоптимизация поиска данныхen_US
dc.subjectбазы данныхen_US
dc.subjectкритерии поиска информацииen_US
dc.subjectинформационная средаen_US
dc.titleOptimization of Information Retrieval in Digital Libraries on the Basis of Influent Analysisen_US
dc.typeArticleen_US
workflow.import.sourcescience

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