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master's thesis
Adaptivni sustav za generiranje preporuka iz domene putovanja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:984636
Hlobik, Marija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Hlobik, M. (2019). Adaptivni sustav za generiranje preporuka iz domene putovanja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:984636

Hlobik, Marija. "Adaptivni sustav za generiranje preporuka iz domene putovanja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:984636

Hlobik, Marija. "Adaptivni sustav za generiranje preporuka iz domene putovanja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:984636

Hlobik, M. (2019). 'Adaptivni sustav za generiranje preporuka iz domene putovanja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:984636

Hlobik M. Adaptivni sustav za generiranje preporuka iz domene putovanja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 June 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:984636

M. Hlobik, "Adaptivni sustav za generiranje preporuka iz domene putovanja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:984636

Metadata
TitleAdaptivni sustav za generiranje preporuka iz domene putovanja
Title (english)Adaptive Recommender System for Travel Planning
AuthorMarija Hlobik
MentorLjiljana Brkić (mentor)
Committee memberLjiljana Brkić (predsjednik povjerenstva)
Committee memberIgor Mekterović (član povjerenstva)
Committee memberBoris Milašinović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-02-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U okviru ovog rada proučeni su modeli preporučiteljskih sustava i njihovi principi rada. Razvijen je vlastiti sustav za generiranje preporuka pri planiranju putovanja. Uz pomoć javno dostupnih aplikacijskih programskih sučelja izgrađen je set podataka o gradovima za planiranje putovanja, smještajnim jedinicama i dostupnim avionskim letovima do pojedinog grada. Proučeni su načini prevladavanja problema nepoznavanja korisnikovih interesa i implementiran je vlastiti način rješavanja problema nepoznavanja korisnikovih interesa. Jedno od rješenja je prikupljanje inicijalnih podataka o korisniku preko aplikacijskog programskog sučelja Facebook društvene mreže te izgradnja korisničkog profila. Izrađena je prikladna web-aplikacija koja demonstrira rad sustava. Dodatno, za evaluaciju kvalitete preporučiteljskih sustava i poboljšanje budućih preporuka za korisnika, implementiran je i modul za ocjenjivanje preporuka pojedinog preporučiteljskog sustava.
Abstract (english)
This paper describes study of the recommender systems and their working principles. A system for generating travel planning recommendations has been developed. With the help of publicly available application programming interfaces, a set of city planning data for travel plans, accommodation units, and available flights to a particular city was built. The ways to overcome the cold start problem were studied and own way of solving that problem was implemented. One of the solutions for cold start problem is to collect initial user data via the Facebook social network application program interface and build user profile. An appropriate web application that demonstrates the operation of the system was developed. Additionally, for evaluating recommender systems and improving the recommendation quality for users, a module for rating recommendation for each of the recommender system was implemented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:984636
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
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Created on2019-03-13 20:48:55