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undergraduate thesis
Sustav preporučivanja knjiga zasnovan na suradničkom filtriranju
2020. urn:nbn:hr:168:736183
Majača, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Majača, J. (2020). Sustav preporučivanja knjiga zasnovan na suradničkom filtriranju (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:736183

Majača, Josip. "Sustav preporučivanja knjiga zasnovan na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:736183

Majača, Josip. "Sustav preporučivanja knjiga zasnovan na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:736183

Majača, J. (2020). 'Sustav preporučivanja knjiga zasnovan na suradničkom filtriranju', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:736183

Majača J. Sustav preporučivanja knjiga zasnovan na suradničkom filtriranju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2025 February 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:736183

J. Majača, "Sustav preporučivanja knjiga zasnovan na suradničkom filtriranju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:736183

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Metadata
TitleSustav preporučivanja knjiga zasnovan na suradničkom filtriranju
Title (english)Book Recommender System Based on Collaborative Filtering
AuthorJosip Majača
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberLucija Šikić (član povjerenstva)
Committee memberPetar Afrić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad se bavi sustavima za preporučivanje zasnovanim na suradničkom filtriranju, specifičnije dvama algoritmima takvih sustava: algoritmu zasnovanom na korisnicima i algoritamu zasnovanom na predmetima. Detaljno se objašnjava svaki od algoritama zajedno s prednostima i nedostacima. Opisan je dio programskog ostvarenja algoritama sustava preproučavanja knjiga u programskom jeziku Python. Na kraju je provedena validacija rezultata algoritama kako bi se usporedila pogreška algoritama te su na osnovu toga izvedeni zaključci.
Abstract (english)
This thesis deals with recommender system based on collaborative filtering, more specifically two algorithms: a user-based algorithm and an item-based algorithm. Each of the algorithms is explained in detail with its own advantages and disadvantages. A part of Python implementation of the book recommender system is described. Finally, validation of the algorithm result was performed to compare the algorithms errors and conclusions were drawn on that basis.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:736183
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 on2023-01-14 09:21:03