prikaz prve stranice dokumenta Metoda samonadziranog učenja za sustave preporuke temeljena na detekciji zajednica u grafovima
No public access
undergraduate thesis
Metoda samonadziranog učenja za sustave preporuke temeljena na detekciji zajednica u grafovima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:971823
Pavelić, Dora
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Pavelić, D. (2021). Metoda samonadziranog učenja za sustave preporuke temeljena na detekciji zajednica u grafovima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:971823

Pavelić, Dora. "Metoda samonadziranog učenja za sustave preporuke temeljena na detekciji zajednica u grafovima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:971823

Pavelić, Dora. "Metoda samonadziranog učenja za sustave preporuke temeljena na detekciji zajednica u grafovima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:971823

Pavelić, D. (2021). 'Metoda samonadziranog učenja za sustave preporuke temeljena na detekciji zajednica u grafovima', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:971823

Pavelić D. Metoda samonadziranog učenja za sustave preporuke temeljena na detekciji zajednica u grafovima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:971823

D. Pavelić, "Metoda samonadziranog učenja za sustave preporuke temeljena na detekciji zajednica u grafovima", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:971823

Metadata
TitleMetoda samonadziranog učenja za sustave preporuke temeljena na detekciji zajednica u grafovima
Title (english)Self-supervised learning method for recommender systems based on community detection in graphs
AuthorDora Pavelić
MentorMario Brčić (mentor)
Committee memberMario Brčić (predsjednik povjerenstva)
Committee memberAgneza Krajna (član povjerenstva)
Committee memberJuraj Dončević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Poznati izazov u sustavima preporuke jest tzv. problem hladnog starta koji nastaje u ranoj fazi postprodukcije kada još nemamo zabilježene korisničke preference u obliku recenzija na temelju kojih bi sustav mogao generirati preporuke. U okviru rada, predloženo je rješenje koje koristi metodu samonadziranog učenja kojim se neuronska mreža uči reprezentacijama korisnika i sadržaja na temelju kojih se uz međusobnu usporedbu dolazi do najpoželjnije preporuke. Kako bi se dokazala uspješnost ove metode, dizajniran je sustav preporuke znanstvenih članaka. Rezultati ovog pristupa su zadovoljavajući. Kako bi se u budućnosti postigli još bolji rezultati, naučeni model trebao bi se iskoristiti u sklopu prijenosnog učenja (eng. transfer learning) uz prave korisničke recenzije.
Abstract (english)
A well-known challenge in recommender systems is the so-called cold start problem that arises in the early stages of post-production when we do not yet have recorded user preferences in the form of reviews, based on which the system could generate recommendations. This final paper suggest a solution based on self-supervised learning in which the neural network learns the representations of users and the content on the basis of which they are compared to the most desirable recommendations. As part of proving proposed method, a system of recommending scientific articles has been developed. The results of this approach are satisfactory; however, in order to achieve even better results, the developed trained model should be used in transfer learning with real user reviews.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:971823
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
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-01-15 10:59:32