prikaz prve stranice dokumenta Ostvarenje sustava preporučivanja koristeći algoritam suradničkog filtriranja
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undergraduate thesis
Ostvarenje sustava preporučivanja koristeći algoritam suradničkog filtriranja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:962642
Vrankić, Fran
University of Zagreb
Faculty of Electrical Engineering and Computing

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Vrankić, F. (2021). Ostvarenje sustava preporučivanja koristeći algoritam suradničkog filtriranja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:962642

Vrankić, Fran. "Ostvarenje sustava preporučivanja koristeći algoritam suradničkog filtriranja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:962642

Vrankić, Fran. "Ostvarenje sustava preporučivanja koristeći algoritam suradničkog filtriranja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:962642

Vrankić, F. (2021). 'Ostvarenje sustava preporučivanja koristeći algoritam suradničkog filtriranja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 07 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:962642

Vrankić F. Ostvarenje sustava preporučivanja koristeći algoritam suradničkog filtriranja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 July 07] Available at: https://urn.nsk.hr/urn:nbn:hr:168:962642

F. Vrankić, "Ostvarenje sustava preporučivanja koristeći algoritam suradničkog filtriranja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:962642

Metadata
TitleOstvarenje sustava preporučivanja koristeći algoritam suradničkog filtriranja
Title (english)Recommendation Systems Implementation Using Collaborative Filtering Algorithm
AuthorFran Vrankić
MentorKlemo Vladimir (mentor)
Committee memberKlemo Vladimir (predsjednik povjerenstva)
Committee memberAdrian Satja Kurdija (član povjerenstva)
Committee memberDavor Vukadin (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad sadrži implementaciju sustava preporučivanja metodom suradničkog filtriranja i pokriva značajke sustava preporučivanja općenito. Osnovne metode algoritma suradničkog filtriranja nalažu pronalazak ograničenog skupa najsličnijih stavki unutar skupa, ako se radi o korisnik-korisnik tipu algoritma traži se skup korisnika najvećih koeficijenata korelacije, a ako se radi o predmet-predmet pristupu traže se najsličnije stvari za danu stvar. Koeficijent korelacije između dvije stvake se računa Pearsonovom formulom, a zatim se varijacijama težinske metode računaju predikcije ocjena. Iz novonastalog skupa predviđenih ocjena bira se ograničen broj najvećih i preporučuje. Naposlijetku se metodom RMSE vrednuje kvaliteta dobivenog skupa predikcija.
Abstract (english)
The paper contains the implementation of the recommendation system using the method of collaborative filtering and covers features of the recommendation system in general. The basic methods of the collaborative filtering algorithm require finding a limited set of most similar things within the set. In user-user version of the algorithm, set of users with the highest correlation coefficients is required. In item-item case the most common items are sought. The correlation coefficient between two subjects is calculated by Pearson’s formula. The post rating predictions are calculated using variations of the weighted average model. From the newly created set of predicted ratings, a limited number of the highest ones are selected and recommended. Finally, the quality of the obtained set of predictions is evaluated by the RMSE method.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:962642
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 on2023-01-13 16:28:35