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undergraduate thesis
Sustav preporučivanja filmova zasnovan na suradničkom filtriranju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:160469
Abramac, Lucija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Abramac, L. (2019). Sustav preporučivanja 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:168:160469

Abramac, Lucija. "Sustav preporučivanja filmova zasnovan na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:160469

Abramac, Lucija. "Sustav preporučivanja filmova zasnovan na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:160469

Abramac, L. (2019). 'Sustav preporučivanja 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:168:160469

Abramac L. Sustav preporučivanja filmova zasnovan na suradničkom filtriranju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 July 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:160469

L. Abramac, "Sustav preporučivanja filmova zasnovan na suradničkom filtriranju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:160469

Metadata
TitleSustav preporučivanja filmova zasnovan na suradničkom filtriranju
Title (english)Movie Recommender System Based on Collaborative Filtering
AuthorLucija Abramac
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 country2019-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad obrađuje sustave za preporučivanje. Navedene i objašnjene su tri metode sustava za preporučivanje, preporučivanje zasnovano na sadržaju, suradničko filtriranje i hibridno preporučivanje. Detaljnije je teorijski objašnjena metoda suradničkog filtriranja koja koristi dva pristupa, preporučivanje zasnovano na sličnosti korisnika i preporučivanje zanovano na sličnosti proizvoda. Programska izvedba suradničkog filtriranja ostvarena je u programskom jeziku Python, objašnjena je uz priložene dijelove koda te su prikazani rezultati preporučivanja i validacije sustava.
Abstract (english)
This thesis discusses recommendation systems. Three recommendation system methods are mentioned and explained, content based recommendation, collaborative filtering and hybrid method of recommendation. Collaborative filtering method is more detailed explained with two methods, model based and memory based approach. Program solution of collaborative filtering based on memory is accomplishe in Python language, it is explained with enclosed parts of code and system results of recommendation and validation are presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:160469
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 on2020-01-07 15:51:07