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

Institutional repository: Faculty of Organization and Informatics - Digital Repository

Cite this document

Bašić, M. (2017). Sustavi preporuke temeljeni na analizi potrošacke košarice (Master's thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. 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 November 2024, 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 2024 November 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

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