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master's thesis
Sustav za personalizirano preporučivanje video sadržaja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:346323
Đurđević, Vladimir
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Đurđević, V. (2024). Sustav za personalizirano preporučivanje video sadržaja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:346323

Đurđević, Vladimir. "Sustav za personalizirano preporučivanje video sadržaja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:346323

Đurđević, Vladimir. "Sustav za personalizirano preporučivanje video sadržaja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:346323

Đurđević, V. (2024). 'Sustav za personalizirano preporučivanje video sadržaja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 March 2025, https://urn.nsk.hr/urn:nbn:hr:168:346323

Đurđević V. Sustav za personalizirano preporučivanje video sadržaja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2025 March 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:346323

V. Đurđević, "Sustav za personalizirano preporučivanje video sadržaja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:346323

Metadata
TitleSustav za personalizirano preporučivanje video sadržaja
Title (english)System for Personalized Video Content Recommendation
AuthorVladimir Đurđević
MentorTomislav Jagušt (mentor)
Committee memberTomislav Jagušt (predsjednik povjerenstva)
Committee memberGordan Gledec (član povjerenstva)
Committee memberMarko Horvat (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-07-05, Croatia
Abstract
U okviru ovog diplomskog rada uspoređivani su različiti sustavi za predlaganje video sadržaja. Uz integraciju i testiranje gotovih rješenja, Recombee i Amazon Personalize, implementirana je i vlastita inačica sustava za preporučivanje video sadržaja. Također, kreirana je klijentska aplikacija koja nudi mogućnost testiranja i korištenja implementiranih sustava. Za manipulaciju baze podataka, odnosno skupa videozapisa koje sustavi preporuka koriste, kreirana je još jedna klijentska aplikacija... More namijenjena administratorima. U radu je detaljno opisana razlika pojedinih sustava, prednosti i nedostaci te su tekstualno i slikovno opisane sve funkcionalnosti i izgled aplikacija. Less
Abstract (english)
In this thesis, many different recommendation systems are tested and compared. In addition to the integration and testing of ready-made solutions, Recombee and Amazon Personalize, my own version of recommendation system is also implemented. Also, a client application with possibility to test and use integrated systems is created. Another client application which is created is used for data manipulation by admins. The idea is to use that application to manage set of videos, ie. add, update... More or delete videos. The paper describes in detail differences between individual systems, their advantages and disadvantages. Also, all the functionalities and appereance of the application are described in text and shown in pictures. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:346323
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 conditionsOpen access
Terms of useLicence In copyright icon
Public note
Created on2024-10-12 20:31:17
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