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master's thesis
Algoritmi za pretraživanje informacija
2015. urn:nbn:hr:211:956445
Picek, Samuel
University of Zagreb
Faculty of Organization and Informatics
Department of Quantitative Methods

Cite this document

Picek, S. (2015). Algoritmi za pretraživanje informacija (Master's thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:956445

Picek, Samuel. "Algoritmi za pretraživanje informacija." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2015. https://urn.nsk.hr/urn:nbn:hr:211:956445

Picek, Samuel. "Algoritmi za pretraživanje informacija." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2015. https://urn.nsk.hr/urn:nbn:hr:211:956445

Picek, S. (2015). 'Algoritmi za pretraživanje informacija', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 16 April 2024, https://urn.nsk.hr/urn:nbn:hr:211:956445

Picek S. Algoritmi za pretraživanje informacija [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2015 [cited 2024 April 16] Available at: https://urn.nsk.hr/urn:nbn:hr:211:956445

S. Picek, "Algoritmi za pretraživanje informacija", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:211:956445

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Metadata
TitleAlgoritmi za pretraživanje informacija
Title (english)Information retrieval algorithms
AuthorSamuel Picek
MentorJasminka Dobša (mentor)
MBZ: 218640
Committee memberValentina Kirinić
MBZ: 218651
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Quantitative Methods)
Varaždin
Defense date and country2015-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
U radu smo opisali teorijski model vektorskog prostora za pretraživanje informacija i kao odabrane algoritme obradili smo HITS i PageRank za koje smo implementirati programske primjere. Analizirali smo te usporedili navedene algoritme na skupu podataka dobivenih iz anonimne društvene mreže kako bi odredili važnost pojedinih korisnika u društvenoj mreži za zajednicu u kojoj se nalaze.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:956445
Study programmeTitle: Database and Knowledge Base Studies
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 on2017-01-26 13:35:27