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master's thesis
Sustavi preporuke zasnovani na suradničkom filtriranju uz primjenu modela dubokog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:071426
Majača, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Majača, J. (2022). Sustavi preporuke zasnovani na suradničkom filtriranju uz primjenu modela dubokog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:071426

Majača, Josip. "Sustavi preporuke zasnovani na suradničkom filtriranju uz primjenu modela dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:071426

Majača, Josip. "Sustavi preporuke zasnovani na suradničkom filtriranju uz primjenu modela dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:071426

Majača, J. (2022). 'Sustavi preporuke zasnovani na suradničkom filtriranju uz primjenu modela dubokog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:071426

Majača J. Sustavi preporuke zasnovani na suradničkom filtriranju uz primjenu modela dubokog učenja [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:168:071426

J. Majača, "Sustavi preporuke zasnovani na suradničkom filtriranju uz primjenu modela dubokog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:071426

Metadata
TitleSustavi preporuke zasnovani na suradničkom filtriranju uz primjenu modela dubokog učenja
Title (english)Collaborative Filtering Recommender Systems Based on Deep Learning Models
AuthorJosip Majača
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad se bavi sustavima za preporučivanje zasnovanim na suradničkom filtriranju uz primjenu modela dubokog učenja. Uvode se pojmovi usko vezani za suradničko filtriranje i strojno učenje općenito. Objašnjen je i programski ostvaren radni okvir neuralnog suradničkog filtriranja u programskom jeziku Python pomoću PyTorch radnog okvira. Na kraju je provedena validacija rezultata modela s obzirom na različite hiperparametre modela.
Abstract (english)
This thesis deals with collaborative filtering recommender systems based on deep learning models. Concepts about collaborative filtering and machine learning in general are introduced. The Neural Collaborative Filtering framework is explained and implemented in Python programming language with the help of PyTorch framework. Finally, validation of the model was performed with assessing different model hyperparameters.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:071426
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 on2023-01-14 09:21:32