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master's thesis
Sustavi preporuke temeljeni na analizi potrošacke košarice
2017. urn:nbn:hr:211:654940
Bašić, Matej
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

Cite this document

Bašić, M. (2017). Sustavi preporuke temeljeni na analizi potrošacke košarice (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:654940

Bašić, Matej. "Sustavi preporuke temeljeni na analizi potrošacke košarice." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2017. https://urn.nsk.hr/urn:nbn:hr:211:654940

Bašić, Matej. "Sustavi preporuke temeljeni na analizi potrošacke košarice." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2017. https://urn.nsk.hr/urn:nbn:hr:211:654940

Bašić, M. (2017). 'Sustavi preporuke temeljeni na analizi potrošacke košarice', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 24 March 2023, https://urn.nsk.hr/urn:nbn:hr:211:654940

Bašić M. Sustavi preporuke temeljeni na analizi potrošacke košarice [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2017 [cited 2023 March 24] Available at: https://urn.nsk.hr/urn:nbn:hr:211:654940

M. Bašić, "Sustavi preporuke temeljeni na analizi potrošacke košarice", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:211:654940

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Metadata
TitleSustavi preporuke temeljeni na analizi potrošacke košarice
Title (english)Recommender systems based on market basket analysis
AuthorMatej Bašić
MentorBožidar Kliček (mentor)
MBZ: 95426
Committee memberMarina Klačmer Čalopa
MBZ: 246461
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2017-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
Rad obrađuje osnovne pristupe za kreiranje preporuka kao i popularne algoritme asocijacijske analize. Prezentiran je i vlastiti sustav algoritama baziran na asocijacijskim pravilima i graf bazi podataka te komparativna analiza sa standardnim pristupima.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:654940
Study programmeTitle: Business Systems Organization
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
Created on2019-03-04 10:36:37