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undergraduate thesis
Sustav preporuke knjiga zasnovan na filtriranju sadržaja
2022. urn:nbn:hr:168:068977
Basletić Požar, Tibor
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Basletić Požar, T. (2022). Sustav preporuke knjiga zasnovan na filtriranju sadržaja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:068977

Basletić Požar, Tibor. "Sustav preporuke knjiga zasnovan na filtriranju sadržaja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:068977

Basletić Požar, Tibor. "Sustav preporuke knjiga zasnovan na filtriranju sadržaja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:068977

Basletić Požar, T. (2022). 'Sustav preporuke knjiga zasnovan na filtriranju sadržaja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 08 September 2024, https://urn.nsk.hr/urn:nbn:hr:168:068977

Basletić Požar T. Sustav preporuke knjiga zasnovan na filtriranju sadržaja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 September 08] Available at: https://urn.nsk.hr/urn:nbn:hr:168:068977

T. Basletić Požar, "Sustav preporuke knjiga zasnovan na filtriranju sadržaja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:068977

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Metadata
TitleSustav preporuke knjiga zasnovan na filtriranju sadržaja
Title (english)Content-based Filtering Recommender System for Books
AuthorTibor Basletić Požar
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberZoran Medić (član povjerenstva)
Committee memberMarin Vlaić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome radu su proučeni pristupi stvaranja sustava preporuke. Napravljen je sustav preporuke na osnovi filtriranja sadržaja u Java programskom jeziku koji koristi kosinusnu udaljenost za određivanje sličnosti artikala. Sustav koristi Goodreads skup podataka o knjigama.
Abstract (english)
This paper examines different methods for creating recommendation engines. A content based recommendation engine that uses cosine distance to determine similarity between items is implemented. The system uses a Goodreads dataset of books.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:068977
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 09:45:24