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master's thesis
Sustav preporučivanja igara zasnovan na suradničkom filtriranju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:795607
Ivušić, Vice
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Ivušić, V. (2021). Sustav preporučivanja igara zasnovan na suradničkom filtriranju (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:795607

Ivušić, Vice. "Sustav preporučivanja igara zasnovan na suradničkom filtriranju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:795607

Ivušić, Vice. "Sustav preporučivanja igara zasnovan na suradničkom filtriranju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:795607

Ivušić, V. (2021). 'Sustav preporučivanja igara zasnovan na suradničkom filtriranju', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:795607

Ivušić V. Sustav preporučivanja igara zasnovan na suradničkom filtriranju [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:168:795607

V. Ivušić, "Sustav preporučivanja igara zasnovan na suradničkom filtriranju", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:795607

Metadata
TitleSustav preporučivanja igara zasnovan na suradničkom filtriranju
Title (english)Games Recommender System Based on Collaborative Filtering
AuthorVice Ivušić
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 country2021-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Sustavi preporučivanja (engl. recommender systems) softverska su rješenja i tehnike čija je svrha preporučiti sadržaj korisniku. Sustavi zasnovani na suradničkom filtriranju (engl. collaborative filtering) odluku o preporuci predmeta korisniku temelje na njegovu prošlom ponašanju kao i ponašanju drugih korisnika. Vrednovanje sustava provodi se s ciljem utvrđivanja koliko dobro radi sustav preporučivanja. U sklopu rada predstavljena je implementacija web pauka (engl. web spider) za prikupljanje podataka o ocjenama igara s web stranice Metacritic. Implementiran je sustav preporučivanja zasnovan na suradničkom filtriranju i provedeno je njegovo vrednovanje.
Abstract (english)
Recommender systems are software tools and techniques that provide recommendations for content to users. Recommender systems based on collaborative filtering build their recommendations having taken into consideration the past behaviors of both the target user and of users similar to the target user. System validation is used to determine how well the recommender system works. As part of this thesis, a web spider implementation for web scraping Metacritic’s website is presented. A recommender system based on collaborative filtering is implemented and validated.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:795607
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 09:09:37