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master's thesis
Hibridni sustav preporuke računalnih igara
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:700167
Filipović, Anton
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Filipović, A. (2020). Hibridni sustav preporuke računalnih igara (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:700167

Filipović, Anton. "Hibridni sustav preporuke računalnih igara." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:700167

Filipović, Anton. "Hibridni sustav preporuke računalnih igara." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:700167

Filipović, A. (2020). 'Hibridni sustav preporuke računalnih igara', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:700167

Filipović A. Hibridni sustav preporuke računalnih igara [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:700167

A. Filipović, "Hibridni sustav preporuke računalnih igara", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:700167

Metadata
TitleHibridni sustav preporuke računalnih igara
Title (english)Hybrid Video Game Recommender System
AuthorAnton Filipović
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 country2020-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj rada je opisati algoritme preporuke zasnovane na suradničkom filtriranju i algoritme zasnovane na sadržaju te hibridne pristupe koji kombiniraju opisane postupke. U radu se opisuju obilježja algoritama i prikazuje njihov princip rada nad pokaznim primjerima. Predstavljaju se postojeće metrike i eksperimenti za vrednovanje uspješnosti sustava preporučivanja. Za potrebe analize programskog rješenja prikupljen je prikladan skup podataka za preporuku računalnih igara korisnicima. Osmišljen je i programski ostvaren hibridni sustav preporuke koji primijenjuje pristupe zasnovane na sadržaju i suradničkom filtriranju. Provedeno je vrednovanje sustava preporuke nad primjerenim skupom podataka te je opisano programsko ostvarenje sustava i navedena korištena literatura i primljena pomoć.
Abstract (english)
The main goal of this master thesis is to describe recommender systems based on collaborative filtering and content based recommendation algorithms, as well as hybrid systems combining said approaches. Their characteristics and main principles are demonstrated on real world examples. Metrics and experiments for evaluation of system's accuracy are presented. Analysis of the recommendation system for video games is conducted on the collected dataset. Recommender system based on hybrid approach is developed and demonstrated showing collaborative filtering and content based principles.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:700167
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 09:58:53