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undergraduate thesis
Sustav preporuke filmova zasnovan na suradničkom filtriranju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:235643
Fain, Maria
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Fain, M. (2022). Sustav preporuke filmova zasnovan na suradničkom filtriranju (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:235643

Fain, Maria. "Sustav preporuke filmova zasnovan na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:235643

Fain, Maria. "Sustav preporuke filmova zasnovan na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:235643

Fain, M. (2022). 'Sustav preporuke filmova zasnovan na suradničkom filtriranju', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:235643

Fain M. Sustav preporuke filmova zasnovan na suradničkom filtriranju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 July 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:235643

M. Fain, "Sustav preporuke filmova zasnovan na suradničkom filtriranju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:235643

Metadata
TitleSustav preporuke filmova zasnovan na suradničkom filtriranju
Title (english)Movie Recommender System Based On Collaborative Filtering
AuthorMaria Fain
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberZoran Medić (član povjerenstva)
Committee memberMarin Vlaić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Sustavi preporuke stvoreni su u svrhu unaprijeđivanja pretraživanja i korištenja sadržaja korisnicima u virtualnom svijetu. Jedna vrsta sustava za preporuku su sustavi preporuke zasnovani na suradničkom filtriranju čiji način rada je opširnije opisan u ovome radu. Ponuđen je opis metrika koje se koriste u algoritmima preporuke i opis izdvojenih algoritama preporuke zasnovanih na suradničkom filtriranju. Napravljeno je jednostavno programsko ostvarenje sustava preporuke filmova zasnovanog na suradničkom filtriranju koristeći bazu podataka MovieLens. Nakon programskog ostvarenja, provedeno je vrednovanje uspješnosti i preciznosti korištenih algoritama preporuke.
Abstract (english)
Recommendation systems were built with the purpose of upgrading the search and use of content for users in the virtual world. This paper explains the functionality of a certain kind of recommendation systems called recommendation systems based on collaborative filtering. A description of similarity metrics that are used in recommendation algorithms is given along with a description of chosen recommendation algorithms based on collaborative filtering. A simple film recommendation system based on collaborative filtering is implemented using the MovieLens database. Following the implementation, a calculation using accuracy metrics has been made for each of the used algorithms.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:235643
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-15 10:06:32