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undergraduate thesis
Sustav za preporuku filmova temeljen na kolaborativnom filtriranju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:953968
Vrsalović, Lovro
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Vrsalović, L. (2023). Sustav za preporuku filmova temeljen na kolaborativnom filtriranju (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:953968

Vrsalović, Lovro. "Sustav za preporuku filmova temeljen na kolaborativnom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:953968

Vrsalović, Lovro. "Sustav za preporuku filmova temeljen na kolaborativnom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:953968

Vrsalović, L. (2023). 'Sustav za preporuku filmova temeljen na kolaborativnom filtriranju', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:953968

Vrsalović L. Sustav za preporuku filmova temeljen na kolaborativnom filtriranju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 June 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:953968

L. Vrsalović, "Sustav za preporuku filmova temeljen na kolaborativnom filtriranju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:953968

Metadata
TitleSustav za preporuku filmova temeljen na kolaborativnom filtriranju
Title (english)Collaborative filtering recommender system for movies
AuthorLovro Vrsalović
MentorMario Brčić (mentor)
Committee memberMario Brčić (predsjednik povjerenstva)
Committee memberMihael Kovač (član povjerenstva)
Committee memberKristijan Poje (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada bio je razviti sustav preporuka za filmove temeljen na kolaborativnom filtriranju gdje se korisnicima pružaju personalizirane preporuke filmova u odnosu na slične korisnike. Najprije je obrađena tematika prikupljanja, obrade i transformacije podataka te trening i optimizacija neuronske mreže. Također, za implementaciju sustava korištena je konvolucijska graf neuronska mreža LightGCN i Pearsonov koeficijent korelacije. Rezultati oba modela su agregirani korištenjem tehnike učenja ansambla te su temeljito analizirani s ciljem ocjene točnosti i učinkovitosti razvijenog sustava preporuka. Za kraj, dan je pregled mogućih unaprjeđenja sustava koji bi uključivali dodatne podatke o korisnicima odnosno dodatne modele za preporuku.
Abstract (english)
The aim of this work was to develop a movie recommendation system based on collaborative filtering where users are provided with personalized movie recommendations in relation to similar users. First of all, the topic of data collection, processing and transformation, as well as neural network training and optimization, was covered. The implementation of the system involved the use of LightGCN, a graph convolutional neural network, and Pearson's correlation coefficient. The results of both models were aggregated using ensemble learning techniques and were thoroughly analyzed with the aim of evaluating the accuracy and efficiency of the developed recommendation system. Finally, an overview of possible improvements to the system was given, which would include additional data on users or additional models for recommendation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:953968
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 on2023-07-13 10:39:54