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master's thesis
Hibridni sustav za preporuku glazbe
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:016382
Bukovac, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Bukovac, I. (2023). Hibridni sustav za preporuku glazbe (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:016382

Bukovac, Ivan. "Hibridni sustav za preporuku glazbe." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:016382

Bukovac, Ivan. "Hibridni sustav za preporuku glazbe." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:016382

Bukovac, I. (2023). 'Hibridni sustav za preporuku glazbe', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:016382

Bukovac I. Hibridni sustav za preporuku glazbe [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 October 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:016382

I. Bukovac, "Hibridni sustav za preporuku glazbe", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:016382

Metadata
TitleHibridni sustav za preporuku glazbe
Title (english)Hybrid Music Recommender System
AuthorIvan Bukovac
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 country2023-07-04, Croatia
Abstract
U ovome radu daju se osnovne informacije o sustavima preporuka zasnovanim na sadržaju, sustavima preporuka zasnovanim na suradničkom filtriranju i hibridnim sustavima preporuka. Objašnjeno je programsko ostvarenje mješovitog hibridnog sustava nad korištenim skupom podataka te vrednovanje hibridnog sustava.
Abstract (english)
This paper provides basic information about content-based recommendation systems, collaborative filtering-based recommendation systems, and hybrid recommendation systems. The program realization of the mixed hybrid system over the used dataset and the evaluation of the hybrid system are explained.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:016382
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 on2023-07-13 09:58:23