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master's thesis
Sustav preporuka za znanstvenu literaturu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:201909
Artić, Borna
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Artić, B. (2023). Sustav preporuka za znanstvenu literaturu (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:201909

Artić, Borna. "Sustav preporuka za znanstvenu literaturu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:201909

Artić, Borna. "Sustav preporuka za znanstvenu literaturu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:201909

Artić, B. (2023). 'Sustav preporuka za znanstvenu literaturu', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:201909

Artić B. Sustav preporuka za znanstvenu literaturu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 June 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:201909

B. Artić, "Sustav preporuka za znanstvenu literaturu", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:201909

Metadata
TitleSustav preporuka za znanstvenu literaturu
Title (english)Recommendation system for scientific literature
AuthorBorna Artić
MentorBoris Vrdoljak (mentor)
Committee memberBoris Vrdoljak (predsjednik povjerenstva)
Committee memberVedran Mornar (član povjerenstva)
Committee memberMarko Horvat (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-03, Croatia
Abstract
U ovom diplomskom radu demonstrirana je primjena sustava preporuka kao rješenja problema informacijske prezasićenosti na internetu. Preporučitelj koji je implementiran s ciljem primjene u domeni znanstvene literature koristi tehnike suradničkog filtriranja i filtriranja temeljenog na sadržaju. Podaci o istraživačkim radovima nad kojima se algoritmi primjenjuju dohvaćeni su s javno dostupne platforme za distribuciju znanstvenih članaka arXiv. Izrađena je i web aplikacija koristeći sustav za upravljanje relacijskim bazama podataka MySQL i radne okvire React i Rails koja korisnicima pruža mogućnost interakcije sa sustavom preporuka: na temelju aktivnosti unutar aplikacije i postojećih preferencija generiraju se nove, personalizirane preporuke.
Abstract (english)
This thesis showcases the utilization of a recommendation system as a solution to the issue of information overload on the Internet. The implemented recommendation system focuses on the domain of scientific literature and incorporates collaborative filtering and content-based filtering techniques. The data on the research papers utilized for algorithms application were acquired from arXiv, a free distribution service and an open-access scholarly articles archive. To enhance user engagement with the recommendation system, a web application was developed using the MySQL relational database management system along with the React and Rails frameworks. This application generates new and personalized recommendations based on the user's activities within the application and existing preferences.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:201909
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
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Created on2023-07-13 09:53:02