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master's thesis
Generator sustava preporučivanja zasnovanih na slučajevima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:568850
Matijašić, Ivor Leon
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Matijašić, I. L. (2023). Generator sustava preporučivanja zasnovanih na slučajevima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:568850

Matijašić, Ivor Leon. "Generator sustava preporučivanja zasnovanih na slučajevima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:568850

Matijašić, Ivor Leon. "Generator sustava preporučivanja zasnovanih na slučajevima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:568850

Matijašić, I. L. (2023). 'Generator sustava preporučivanja zasnovanih na slučajevima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:568850

Matijašić IL. Generator sustava preporučivanja zasnovanih na slučajevima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:568850

I. L. Matijašić, "Generator sustava preporučivanja zasnovanih na slučajevima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:568850

Metadata
TitleGenerator sustava preporučivanja zasnovanih na slučajevima
Title (english)Case-based Recommendation System Generator
AuthorIvor Leon Matijašić
MentorKlemo Vladimir (mentor)
Committee memberKlemo Vladimir (predsjednik povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
Committee memberGoran Delač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-04, Croatia
Abstract
Sustavi preporučivanja zasnovani na slučajevima je napravljen kao rješenje problemu hladnog početka (cold-start problem). To rade tako da identificiraju sličnosti između korisnikovog upita i skup proizvoda. Iskorištavanjem ovih sličnosti i korištenjem različitih tehnika, sustavi preporuka zasnovani na slučajevima mogu dati preporuke koje su u skladu s interesima i preferencijama korisnika. Sustavi preporuke zasnovani na slučajevima pokazali su se učinkovitima i uspješno su primijenjeni u raznim domenama kao što su e-trgovina, zabava, obrazovanje i zdravstvena skrb.
Abstract (english)
Case-based recommender systems were created as a solution to the cold-start problem. They do this by identifying similarities between the user's query and a set of products. By exploiting these similarities and using different techniques, case-based recommender systems can provide recommendations that are in line with the users interests and preferences. Case-based recommender systems have proven to be effective and have been successfully applied in various domains such as e-commerce, entertainment, education, and healthcare.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:568850
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 on2023-10-11 09:45:43