Improving business helpdesk systems with intelligent search mechanisms
Modern information systems widely use intelligent tools for detection, recognition and prediction of new knowledge. The area of implementation of such systems is huge and there is almost no area of industry and services, where such systems are not represented. The aim of the development of such syst...
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Format: | Article |
Language: | English |
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University of Pristina in Kosovska Mitrovica, Faculty of Economics
2015-01-01
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Series: | Ekonomski Pogledi |
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Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1450-7951/2015/1450-79511502123M.pdf |
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author | Milicević Vladimir Milovanović Slavoljub Milosavljević Bojana |
author_facet | Milicević Vladimir Milovanović Slavoljub Milosavljević Bojana |
author_sort | Milicević Vladimir |
collection | DOAJ |
description | Modern information systems widely use intelligent tools for detection, recognition and prediction of new knowledge. The area of implementation of such systems is huge and there is almost no area of industry and services, where such systems are not represented. The aim of the development of such systems is to obtain such an information system in the future that will have full functionality with the ability to upgrade without the intervention of a software development team. The paper proposes an intelligent software solution as a part of the way toward the set ideal software solution. It will particularly highlight that the methodology by which the prototype of the proposed software solution was developed represents a valid basis for the development of software solutions for different areas and services. |
first_indexed | 2024-04-24T13:58:19Z |
format | Article |
id | doaj.art-da481a79c55d48ecbb909a3908813f2f |
institution | Directory Open Access Journal |
issn | 1450-7951 2334-7570 |
language | English |
last_indexed | 2024-04-24T13:58:19Z |
publishDate | 2015-01-01 |
publisher | University of Pristina in Kosovska Mitrovica, Faculty of Economics |
record_format | Article |
series | Ekonomski Pogledi |
spelling | doaj.art-da481a79c55d48ecbb909a3908813f2f2024-04-03T16:28:34ZengUniversity of Pristina in Kosovska Mitrovica, Faculty of EconomicsEkonomski Pogledi1450-79512334-75702015-01-0117212313710.5937/EkoPog1502123M1450-79511502123MImproving business helpdesk systems with intelligent search mechanismsMilicević Vladimir0Milovanović Slavoljub1https://orcid.org/0000-0002-0128-7301Milosavljević Bojana2Technical College of Applied Studies in Kragujevac, Kragujevac, SerbiaFaculty of Economics in Nis, Niš, SerbiaVTSSS Zvecan, SerbiaModern information systems widely use intelligent tools for detection, recognition and prediction of new knowledge. The area of implementation of such systems is huge and there is almost no area of industry and services, where such systems are not represented. The aim of the development of such systems is to obtain such an information system in the future that will have full functionality with the ability to upgrade without the intervention of a software development team. The paper proposes an intelligent software solution as a part of the way toward the set ideal software solution. It will particularly highlight that the methodology by which the prototype of the proposed software solution was developed represents a valid basis for the development of software solutions for different areas and services.https://scindeks-clanci.ceon.rs/data/pdf/1450-7951/2015/1450-79511502123M.pdfinsuranceruleknowledge baseintelligent systemhelpdeskneural networks |
spellingShingle | Milicević Vladimir Milovanović Slavoljub Milosavljević Bojana Improving business helpdesk systems with intelligent search mechanisms Ekonomski Pogledi insurance rule knowledge base intelligent system helpdesk neural networks |
title | Improving business helpdesk systems with intelligent search mechanisms |
title_full | Improving business helpdesk systems with intelligent search mechanisms |
title_fullStr | Improving business helpdesk systems with intelligent search mechanisms |
title_full_unstemmed | Improving business helpdesk systems with intelligent search mechanisms |
title_short | Improving business helpdesk systems with intelligent search mechanisms |
title_sort | improving business helpdesk systems with intelligent search mechanisms |
topic | insurance rule knowledge base intelligent system helpdesk neural networks |
url | https://scindeks-clanci.ceon.rs/data/pdf/1450-7951/2015/1450-79511502123M.pdf |
work_keys_str_mv | AT milicevicvladimir improvingbusinesshelpdesksystemswithintelligentsearchmechanisms AT milovanovicslavoljub improvingbusinesshelpdesksystemswithintelligentsearchmechanisms AT milosavljevicbojana improvingbusinesshelpdesksystemswithintelligentsearchmechanisms |