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undergraduate thesis
Sustav preporučivanja na temelju zapisa prijašnjih korisničkih odabira
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:008457
Marić, Patrik
University of Zagreb
Faculty of Electrical Engineering and Computing

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Marić, P. (2018). Sustav preporučivanja na temelju zapisa prijašnjih korisničkih odabira (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:008457

Marić, Patrik. "Sustav preporučivanja na temelju zapisa prijašnjih korisničkih odabira." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:008457

Marić, Patrik. "Sustav preporučivanja na temelju zapisa prijašnjih korisničkih odabira." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:008457

Marić, P. (2018). 'Sustav preporučivanja na temelju zapisa prijašnjih korisničkih odabira', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:008457

Marić P. Sustav preporučivanja na temelju zapisa prijašnjih korisničkih odabira [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:008457

P. Marić, "Sustav preporučivanja na temelju zapisa prijašnjih korisničkih odabira", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:008457

Metadata
TitleSustav preporučivanja na temelju zapisa prijašnjih korisničkih odabira
Title (english)Recommendation System Based on Records of Previous User Activities
AuthorPatrik Marić
MentorKlemo Vladimir (mentor)
Committee memberKlemo Vladimir (predsjednik povjerenstva)
Committee memberGoran Delač (član povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu su ukratko opisani općenito sustavi preporuke, s naglaskom na suradničko filtriranje. Opisane su neke od metodi računanja sličnosti između korisnika, te nakon toga pristupi ka odabiru susjedstva i za kraj pristupi izračunu procijenjenih ocjena koje bi određeni korisnik dao artiklima koje nije ocijenio. Nakon općenitog opisa sustava preporuke, ukratko su opisane implementacije sustava implementiranih u sklopu ovoga rada. Te nakon toga je provedena i usporedba, odnosno vrednovanje istih. Sustavi su uspoređeni po susjedstvima koje pronalaze, te po pronađenim preporukama, te na kraju i vremenu izvođenja.
Abstract (english)
In the beginning of this paper is a brief description of recommender systems in general, with focus on collaborative filtering. Further on, there are described some of the similarity measures and some of the approaches to defining the neighbourhood of a user, lastly there are described few ways of estimating a grade for an item that hasn’t been graded by the user. After the brief description of recommender systems in general, implementations of the recommender systems implemented within this paper’s thesis were described. In the end the implemented systems were evaluated and compared. Systems were compared by the found neighborhood for a user, grades estimated, and finally execution times.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:008457
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 on2019-03-13 22:39:29