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undergraduate thesis
Sustavi za preporučivanje zasnovani na suradničkom filtriranju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:928001
Babić, Stipe
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Babić, S. (2022). Sustavi za preporučivanje zasnovani na suradničkom filtriranju (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:928001

Babić, Stipe. "Sustavi za preporučivanje zasnovani na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:928001

Babić, Stipe. "Sustavi za preporučivanje zasnovani na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:928001

Babić, S. (2022). 'Sustavi za preporučivanje zasnovani na suradničkom filtriranju', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:928001

Babić S. Sustavi za preporučivanje zasnovani na suradničkom filtriranju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:928001

S. Babić, "Sustavi za preporučivanje zasnovani na suradničkom filtriranju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:928001

Metadata
TitleSustavi za preporučivanje zasnovani na suradničkom filtriranju
Title (english)Recommender Systems Based on Collaborative Filtering
AuthorStipe Babić
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberHelena Čeović (član povjerenstva)
Committee memberAdrian Satja Kurdija (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad se sastoji od opisa sustava za preporučivanje s naglaskom na sustave temeljene suradničkima filtriranje te na njihovim primjenama i izazovima. Objašnjena je podjela na sustave zasnovane na memoriji i modelu, a zatim se objašnjena i dva različita pogleda na sustave zasnovane na memoriji (item-item i user-user). Implementirana su tri sustava za preporuku. Jedan od sustava temeljen je na user-user paradigmi, drugi na item-item paradigmi, a treći na modelu koji koristi dekompoziciju na singularne vrijednosti. Za sve modele generirane su preporuke referentnom korisniku. Naposljetku je napravljen eksperiment koji testira različite algoritme i vrednuje njihovu točnost i brzinu pri treniranju i testiranju. Ključne riječi: sustavi za preporučivanje, sustavi bazirani na suradničkom filtriranju, sustavi bazirani na memoriji, sustavi bazirani na modelu, generiranje preporuka.
Abstract (english)
The thesis consists of describing recommender systems with emphasis on collaborative filtering and its challenges and applications. It describes memory based and model-based systems and then presents two different views on memory-based systems (item-item and user-user). Three recommender systems were implemented. One on user-user, the second is based on item-item similarity and the third model is based using singular value decomposition. Referent user got recommendations for all of three implemented models. Finally, experiment was made on same dataset to test different algorithms and to grade its accuracy and speed while fitting model and testing it. Keywords: recommender systems, collaborative filtering, memory-based recommender systems, model-based recommender systems, generating recommendations.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:928001
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 on2023-01-15 09:42:09