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undergraduate thesis
Sustavi za preporučivanje zasnovani na suradničkom filtriranju
2019. urn:nbn:hr:168:413814
Lukić, Andrea
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Lukić, A. (2019). Sustavi za preporučivanje zasnovani na suradničkom filtriranju (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:413814

Lukić, Andrea. "Sustavi za preporučivanje zasnovani na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:413814

Lukić, Andrea. "Sustavi za preporučivanje zasnovani na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:413814

Lukić, A. (2019). 'Sustavi za preporučivanje zasnovani na suradničkom filtriranju', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:413814

Lukić A. Sustavi za preporučivanje zasnovani na suradničkom filtriranju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2025 February 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:413814

A. Lukić, "Sustavi za preporučivanje zasnovani na suradničkom filtriranju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:413814

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Metadata
TitleSustavi za preporučivanje zasnovani na suradničkom filtriranju
Title (english)Recommendation Systems Based on Collaborative Filtering
AuthorAndrea Lukić
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberPetar Afrić (član povjerenstva)
Committee memberLucija Šikić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisane su različite vrste sustava za preporučivanje s posebnim naglaskom na one zasnovane na suradničkom filtriranju. Programski je ostvaren sustav za preporučivanje zasnovan na suradničkom filtriranju. Vrednovanje rada ostvarenog sustava provedeno je na više skupova podataka prikladnih za to. Ispitana je učinkovitost ostvarenog sustava te prikazani i opisani rezultati ispitivanja.
Abstract (english)
This paper describes different types of recommendation systems with special emphasis on those based on collaborative filtering. A collaborative filtering recommendation system has been implemented. Evaluation of the system performance was carried out on a number of data sets suitable for this purpose. The efficiency of the system was tested and the test results presented and described were examined.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:413814
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 on2020-01-07 19:51:19