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master's thesis
Preporučiteljski sustavi u sveprisutnom računarstvu
2015. urn:nbn:hr:168:202388
Pervan, Branimir
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Pervan, B. (2015). Preporučiteljski sustavi u sveprisutnom računarstvu (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:202388

Pervan, Branimir. "Preporučiteljski sustavi u sveprisutnom računarstvu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:202388

Pervan, Branimir. "Preporučiteljski sustavi u sveprisutnom računarstvu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:202388

Pervan, B. (2015). 'Preporučiteljski sustavi u sveprisutnom računarstvu', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:202388

Pervan B. Preporučiteljski sustavi u sveprisutnom računarstvu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 April 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:202388

B. Pervan, "Preporučiteljski sustavi u sveprisutnom računarstvu", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:202388

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Metadata
TitlePreporučiteljski sustavi u sveprisutnom računarstvu
Title (english)Recommender systems in ubiquituous computing
AuthorBranimir Pervan
MentorIgor Čavrak (mentor)
Committee memberIgor Čavrak (predsjednik povjerenstva)
Committee memberMario Žagar (član povjerenstva)
Committee memberJosip Knezović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu dan je uvod u sveprisutno računarstvo. Analizirani su temeljni algoritmi koje koriste preporučiteljski sustavi, te su analizirani zahtjevi na preporučiteljske sustave korištene u sveprisutnim okruženjima. Osmišljen je model kontekstno svjesnog preporučiteljskog sustava s posebnim naglaskom na prostor i vrijeme. Prikazani su mogući načini modeliranja prostora, vremena, korisnika i predmeta u sustavu, te je prikazan način sinteze filtarskih algoritama u jedinstvenu predikciju. Na kraju, osmišljeni model je implementiran i ispitan na osmišljenom ispitnom scenariju.
Abstract (english)
This thesis presents fundamentals of Ubiquitous computing. Basic algorithms used by recommender systems have been analysed, as well as requirements for recommender systems used in ubiquitous environments. Context aware recommender system with special interest in space and time has been designed. Possible ways of modelling space, time, user and item have been analyzed and presented. Also, a way of sinthesys of the filtering algorithms into one unique prediction has been shown. Finally, designed model has been implemented and tested on made up scenario.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:202388
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
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Created on2018-02-06 11:13:14