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undergraduate thesis
Web aplikacija za preporuku filmova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:132925
Marciuš, Neven
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Marciuš, N. (2023). Web aplikacija za preporuku filmova (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:132925

Marciuš, Neven. "Web aplikacija za preporuku filmova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:132925

Marciuš, Neven. "Web aplikacija za preporuku filmova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:132925

Marciuš, N. (2023). 'Web aplikacija za preporuku filmova', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:132925

Marciuš N. Web aplikacija za preporuku filmova [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 August 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:132925

N. Marciuš, "Web aplikacija za preporuku filmova", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:132925

Metadata
TitleWeb aplikacija za preporuku filmova
Title (english)Web application for movie recommendations
AuthorNeven Marciuš
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberLjiljana Brkić (član povjerenstva)
Committee memberKristijan Poje (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je dizajnirati i razviti web aplikaciju koja koristi sustav preporuka za sugeriranje filmova korisnicima na temelju njihovih preferencija. Skup podataka MovieLens koristit će se za obuku sustava preporuka i primjenu pristupa kolaborativnog filtriranja. Razvijena web aplikacija imat će intuitivno korisničko sučelje koje korisnicima omogućuje davanje povratnih informacija o predloženim filmovima, što će sustavu omogućiti da s vremenom poboljša svoje preporuke. U radu će se također istražiti mogućnost uključivanja dodatnih izvora podataka, kao što su ocjene filmova i recenzije s platformi društvenih medija, kako bi se povećala točnost sustava preporuka.
Abstract (english)
The objective of this thesis is to design and develop a web application that utilizes a recommendation system to suggest movies to users based on their preferences. The MovieLens dataset will be used to train the recommendation system and apply the collaborative filtering approach. The developed web application will offer an intuitive user interface that allows users to provide feedback on the suggested movies, which will enable the system to improve its recommendations over time. The thesis will also explore the possibility of incorporating additional data sources, such as movie ratings and reviews from social media platforms, to enhance the accuracy of the recommendation system.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:132925
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 on2023-10-11 09:39:42