prikaz prve stranice dokumenta Sustav preporuke računalnih igara zasnovan na hibridnom suradničkom filtriranju uz primjenu dubokog učenja
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master's thesis
Sustav preporuke računalnih igara zasnovan na hibridnom suradničkom filtriranju uz primjenu dubokog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:635262
Marinović, Roko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Marinović, R. (2021). Sustav preporuke računalnih igara zasnovan na hibridnom suradničkom filtriranju uz primjenu dubokog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:635262

Marinović, Roko. "Sustav preporuke računalnih igara zasnovan na hibridnom suradničkom filtriranju uz primjenu dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:635262

Marinović, Roko. "Sustav preporuke računalnih igara zasnovan na hibridnom suradničkom filtriranju uz primjenu dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:635262

Marinović, R. (2021). 'Sustav preporuke računalnih igara zasnovan na hibridnom suradničkom filtriranju uz primjenu 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:168:635262

Marinović R. Sustav preporuke računalnih igara zasnovan na hibridnom suradničkom filtriranju uz primjenu dubokog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:635262

R. Marinović, "Sustav preporuke računalnih igara zasnovan na hibridnom suradničkom filtriranju uz primjenu dubokog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:635262

Metadata
TitleSustav preporuke računalnih igara zasnovan na hibridnom suradničkom filtriranju uz primjenu dubokog učenja
Title (english)Video Game Recommender System Based on Hybrid Collaborative Filtering With Application of Deep Learning
AuthorRoko Marinović
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisani su sustavi preporuke zasnovani na suradničkom filtriranju. Opisano je i primjerima potkrijepljeno suradničko filtriranje zasnovano na memoriji. Opisani su algoritmi suradničkog filtriranja zasnovanog na modelima uz opis strojnog i dubokog učenja. Opisane su metrike vrednovanja sustava preporuke. Implementiran je i opisan sustav preporuke računalnih igara zasnovan na hibridnom suradničkom filtriranju uz primjenu dubokog učenja. Sustav je učen i vrednovan na Amazon Video Games skupu podataka te su opisani dobiveni rezultati vrednovanja.
Abstract (english)
This paper describes recommender systems based on collaborative filtering. Memory-based collaborative filtering is described with the examples. Model-based collaborative filtering algorithms are described with a description of machine and deep learning. The metrics for evaluating the recommender systems are described. A video game recommender system based on hybrid collaborative filtering with application of deep learning has been implemented and described. The system was trained and evaluated on the Amazon Video Games data set and the obtained evaluation results are described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:635262
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 on2023-01-13 15:30:59