prikaz prve stranice dokumenta Generiranje preporuka koje uzimaju u obzir vremenske i prostorne navike korisnika
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master's thesis
Generiranje preporuka koje uzimaju u obzir vremenske i prostorne navike korisnika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:317589
Cvitanović, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Cvitanović, I. (2020). Generiranje preporuka koje uzimaju u obzir vremenske i prostorne navike korisnika (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:317589

Cvitanović, Ivan. "Generiranje preporuka koje uzimaju u obzir vremenske i prostorne navike korisnika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:317589

Cvitanović, Ivan. "Generiranje preporuka koje uzimaju u obzir vremenske i prostorne navike korisnika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:317589

Cvitanović, I. (2020). 'Generiranje preporuka koje uzimaju u obzir vremenske i prostorne navike korisnika', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:317589

Cvitanović I. Generiranje preporuka koje uzimaju u obzir vremenske i prostorne navike korisnika [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:317589

I. Cvitanović, "Generiranje preporuka koje uzimaju u obzir vremenske i prostorne navike korisnika", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:317589

Metadata
TitleGeneriranje preporuka koje uzimaju u obzir vremenske i prostorne navike korisnika
Title (english)Generating Recommendations Taking into Account Users' Temporal and Spatial Habits
AuthorIvan Cvitanović
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 country2020-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U okviru rada implementiran je preporučiteljski sustav iz domene slobodnog vremena. Preporučiteljski sustav uzima u obzir vremenske i prostorne navike korisnika kako bi ponudio što relevantnije preporuke. Implementiran je sustav za analizu povijesti kretanja korisnika u svrhu stvaranja profila korisnika na temelju kojeg preporučiteljski sustav generira preporuke. Korisniku je kroz korištenje web aplikacije omogućeno ocjenjivanje pojedinih preporuka i definiranje vlastitih interesa, na temelju čega preporučiteljski sustav s vremenom poboljšava profil korisnika i stvara sve relevantnije preporuke. Korisniku je također omogućen uvid u podatke na temelju kojih preporučiteljski sustav donosi odluke o preporukama. Studijom testnog skupa korisnika provedena je evaluacija kvalitete preporučiteljskog sustava.
Abstract (english)
This paper describes the development and implementation of a location-based event recommendation system. User location history is analyzed for the purpose of creating a user profile that the recommender system uses to generate relevant recommendations. Through using the web application, the user can rate individual recommendations as well as define their own interests, which helps to improve the generated user profile and lets the system offer more accurate recommendations. Users can also view the data that the system has collected and see how it's used for generating recommendations. Furthermore, a user study has been conducted in order to evaluate the quality of the recommender system.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:317589
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 on2023-01-13 09:05:26