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master's thesis
Hibridni sustav preporuke filmova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:023910
Ravlić, Zvonimir
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Ravlić, Z. (2024). Hibridni sustav preporuke filmova (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:023910

Ravlić, Zvonimir. "Hibridni sustav preporuke filmova." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:023910

Ravlić, Zvonimir. "Hibridni sustav preporuke filmova." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:023910

Ravlić, Z. (2024). 'Hibridni sustav preporuke filmova', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 12 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:023910

Ravlić Z. Hibridni sustav preporuke filmova [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2025 January 12] Available at: https://urn.nsk.hr/urn:nbn:hr:168:023910

Z. Ravlić, "Hibridni sustav preporuke filmova", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:023910

Metadata
TitleHibridni sustav preporuke filmova
Title (english)Hybrid Movie Recommender System
AuthorZvonimir Ravlić
MentorBoris Vrdoljak (mentor)
Committee memberBoris Vrdoljak (predsjednik povjerenstva)
Committee memberIgor Mekterović (član povjerenstva)
Committee memberLjiljana Brkić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-07-09, Croatia
Abstract
U ovom diplomskom radu provedeno je istraživanje, analiza i implementacija različitih vrsta sustava preporuke. Prvi korak obuhvaćao je izradu sustava preporuke zasnovanog na sadržaju, kao i sustava preporuke temeljenog na suradničkom filtriranju. U sljedećem koraku je provedeno istraživanje hibridnih sustava preporuka te je osmišljen i implementiran način spajanja sustava implementiranih u prethodnom koraku u jedan hibridni sustav. Zatim je izrađeno grafičko sučelje koje omogućava korisnicima upotrebu implementiranih algoritama preporuke. Ovo sučelje integrira sve ključne funkcionalnosti, pružajući intuitivno korisničko iskustvo i olakšava korištenje razvijenih sustava preporuke u praksi.
Abstract (english)
In this thesis, research, analysis, and implementation of various types of recommendation systems were conducted. The first step involved creating a content-based recommendation system as well as a collaborative recommendation system. In the next step, research on hybrid recommendation systems was conducted, and a method of combining the systems implemented in the previous step into a single hybrid system was designed and implemented. Then, a graphical interface was created to allow users to use the implemented recommendation algorithms. This interface integrates all key functionalities, providing an intuitive user experience and facilitating the practical use of the developed recommendation systems.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:023910
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
Access conditionsClosed access
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Created on2024-10-12 21:59:57