prikaz prve stranice dokumenta Ostvarenje sustava preporučivanja koristeći algoritam matrične faktorizacije
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master's thesis
Ostvarenje sustava preporučivanja koristeći algoritam matrične faktorizacije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:933795
Pavlović, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Pavlović, L. (2022). Ostvarenje sustava preporučivanja koristeći algoritam matrične faktorizacije (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:933795

Pavlović, Luka. "Ostvarenje sustava preporučivanja koristeći algoritam matrične faktorizacije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:933795

Pavlović, Luka. "Ostvarenje sustava preporučivanja koristeći algoritam matrične faktorizacije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:933795

Pavlović, L. (2022). 'Ostvarenje sustava preporučivanja koristeći algoritam matrične faktorizacije', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:933795

Pavlović L. Ostvarenje sustava preporučivanja koristeći algoritam matrične faktorizacije [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:933795

L. Pavlović, "Ostvarenje sustava preporučivanja koristeći algoritam matrične faktorizacije", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:933795

Metadata
TitleOstvarenje sustava preporučivanja koristeći algoritam matrične faktorizacije
Title (english)Recommendation Systems Implementation Using Matrix Factorization Algorithm
AuthorLuka Pavlović
MentorKlemo Vladimir (mentor)
Committee memberKlemo Vladimir (predsjednik povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
Committee memberGoran Delač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-02-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu bavili smo se sustavima preporučivanja i metodom matrične faktorizacije kod izrade jednog takvog sustava. U prvom poglavlju čitatelju smo približili temu i opisali sustave preporučivanja te njihove primjene. Pokazali smo koje sve vrste sustava preporučivanja poznajemo i načine na koje se oni izrađuju, kao i tehnike koje nam pomažu pri izradi. U drugom poglavlju bavili smo se vlastitom implementacijom koja koristi matričnu faktorizaciju kao metodu unutar sustava preporučivanja u C++ statičkom programskom jeziku. Predstavili smo skup podataka nad kojim smo evaluirali implementaciju, a onda smo dublje ušli u detalje implementacije cijelog jednog sustava i validacije istog. Na kraju smo usporedili implementirani sustav s postojećim implementacijama sustava preporučivanjima i napravili zaključak o uspješnosti rada.
Abstract (english)
In this paper, we have described the recommendation systems and the matrix factorization method in the development of such a system. In the first chapter, we introduced a reader to the topic and described the recommendation systems and their applications. We have shown which types of recommender systems are there and the ways in which they are made, as well as the techniques we use in order to make them. In the second chapter, we described our own implementation that uses matrix factorization as a method within the recommendation system in the C++ static programming language. We presented a dataset on which to evaluate the implementation, and then described the details of the implementation of the entire system and its validation. Finally, we compared the implemented system with the existing recommender systems and made a conclusion about the success of the work
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:933795
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 15:50:32