prikaz prve stranice dokumenta Analiza korisničkog ponašanja prilikom korištenja usluga video strujanja na zahtjev za mobilne uređaje
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master's thesis
Analiza korisničkog ponašanja prilikom korištenja usluga video strujanja na zahtjev za mobilne uređaje
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:680430
Gibanica, Nika
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Gibanica, N. (2022). Analiza korisničkog ponašanja prilikom korištenja usluga video strujanja na zahtjev za mobilne uređaje (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:680430

Gibanica, Nika. "Analiza korisničkog ponašanja prilikom korištenja usluga video strujanja na zahtjev za mobilne uređaje." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:680430

Gibanica, Nika. "Analiza korisničkog ponašanja prilikom korištenja usluga video strujanja na zahtjev za mobilne uređaje." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:680430

Gibanica, N. (2022). 'Analiza korisničkog ponašanja prilikom korištenja usluga video strujanja na zahtjev za mobilne uređaje', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:680430

Gibanica N. Analiza korisničkog ponašanja prilikom korištenja usluga video strujanja na zahtjev za mobilne uređaje [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:680430

N. Gibanica, "Analiza korisničkog ponašanja prilikom korištenja usluga video strujanja na zahtjev za mobilne uređaje", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:680430

Metadata
TitleAnaliza korisničkog ponašanja prilikom korištenja usluga video strujanja na zahtjev za mobilne uređaje
Title (english)Analysis of user behaviour for video on demand streaming services on mobile devices
AuthorNika Gibanica
MentorLea Skorin-Kapov (mentor)
Committee memberLea Skorin-Kapov (predsjednik povjerenstva)
Committee memberMirko Sužnjević (član povjerenstva)
Committee memberJurica Babić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-06-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Video promet u posljednjih nekoliko godina čini najveći udio u ukupnom mobilnom podatkovnom prometu. Budući da sve više korisnika na mobilnim uređajima koristi usluge video strujanja na zahtjev, potrebno je prilikom planiranja sustava za isporuku sadržaja u obzir uzeti obrasce ponašanja korisnika. Modeli korisničkog ponašanja temeljeni na stvarnom ponašanju korisnika mogu se iskoristiti za potrebe treniranja modela strojnog učenja koji se koriste za predviđanje ključnih pokazatelja uspješnosti koji direktno utječu na iskustvenu kvalitetu. Kako bi se prikupili podaci o ponašanju korisnika, u sklopu ovoga rada razvijena je aplikacija YouView koja prati korisničke interakcije za vrijeme korištenja usluge strujanja videozapisa na zahtjev. Prikupljeni zapisi o korisničkim interakcijama skupno su analizirani te su kreirani modeli korisničkog ponašanja u ovisnosti o tipu korištene pristupne mreže, a zatim su ti modeli uspoređeni s drugim modelima korisničkog ponašanja.
Abstract (english)
Video traffic has accounted for the majority of total mobile data traffic in recent years. Due to the increase in the number of users who use video streaming services on mobile devices, it has become neccessary to investigate user behaviour patterns while designing content delivery systems. User behavior models based on real user interactions can be used for training machine learning models with the goal of predicting key performance indicators that directly affect quality of experience. As part of this thesis, an Android application called YouView was developed to collect data on user playback behavior while watching videos in the wild. While streaming videos on demand, the app keeps track of how users interact with it. The information gathered about user behavior was analyzed and utilized to create user behavior models for various types of network connections. The models were then compared to other existing user behavior models.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:680430
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
Terms of useLicence In copyright icon
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Created on2023-01-14 08:48:27