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master's thesis
Primjena upravljanja znanjem u razvoju sustava za preporuku
2020. urn:nbn:hr:166:661865
Marić, Mirna
University of Split
Faculty of Science
Department of Informatics

Cite this document

Marić, M. (2020). Primjena upravljanja znanjem u razvoju sustava za preporuku (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:661865

Marić, Mirna. "Primjena upravljanja znanjem u razvoju sustava za preporuku." Master's thesis, University of Split, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:166:661865

Marić, Mirna. "Primjena upravljanja znanjem u razvoju sustava za preporuku." Master's thesis, University of Split, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:166:661865

Marić, M. (2020). 'Primjena upravljanja znanjem u razvoju sustava za preporuku', Master's thesis, University of Split, Faculty of Science, accessed 27 October 2024, https://urn.nsk.hr/urn:nbn:hr:166:661865

Marić M. Primjena upravljanja znanjem u razvoju sustava za preporuku [Master's thesis]. Split: University of Split, Faculty of Science; 2020 [cited 2024 October 27] Available at: https://urn.nsk.hr/urn:nbn:hr:166:661865

M. Marić, "Primjena upravljanja znanjem u razvoju sustava za preporuku", Master's thesis, University of Split, Faculty of Science, Split, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:166:661865

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Metadata
TitlePrimjena upravljanja znanjem u razvoju sustava za preporuku
Title (english)Knowledge management in recommendation system development
AuthorMirna Marić
MentorSaša Mladenović (mentor)
Committee memberSaša Mladenović (predsjednik povjerenstva)
Committee memberGoran Zaharija (član povjerenstva)
Committee memberDivna Krpan (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2020-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovim diplomskim radom prikazan je razvoj prototipa sustava za preporuku primjenom tehnika strojnog učenja i upravljanja znanjem, prateći pritom životni ciklus razvoja programske podrške. Simulirano je dobivanje zahtjeva za izradu navedenog sustava, predstavljeni su izazovi upravljanja znanjem u razvoju programske podrške te važna uloga područnog znanja potrebnog za izradu prototipa iz područja sustava za preporuku. Primjer sustava je izrađen korištenjem tehnika nenadziranog strojnog učenja koje su poslužile za izračunavanje sličnosti između podataka na dva različita načina kako bi se pokazalo u kojoj mjeri razlike u znanju mogu utjecati na donošenje odluke i posljedično na generiranje preporuke. Cilj ovog diplomskog rada je kritički se osvrnuti na problematiku generiranja preporuka od strane sustava i ostaviti prostora za raspravu o tome što se smatra dobrom preporukom.
Abstract (english)
Thesis represents development of recommendation system prototype based on machine learning and knowledge management techniques while remaining in the scope of software development life-cycle. Obtaining requests for the development is simulated, issues of knowledge management in software development are stated together with the important role of domain knowledge in the context of prototyping recommendation system. An instance of the mentioned system is built based on unsupervised machine learning techniques that served to measure similarities between data in two diverse modes to show the extent to which differences in knowledge can influence decision making and consequently generate a recommendation. The aim of the thesis is to critically observe the issue of generating recommendations as well as leave space for discussion about what a good recommendation is consisted of.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:661865
Study programmeTitle: Computer Science; specializations in: major in teaching
Course: major in teaching
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informatike (magistar/magistra edukacije informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-01-13 16:11:21