Analiza korisničkog ponašanja prilikom korištenja usluga video strujanja na zahtjev za mobilne uređaje

master's thesis

• Title (english): Analysis of user behaviour for video on demand streaming services on mobile devices
• Author: Nika Gibanica
• Mentor: Lea Skorin-Kapov (mentor)
• Committee member: Lea Skorin-Kapov (predsjednik povjerenstva)
• Committee member: Mirko Sužnjević (član povjerenstva)
• Committee member: Jurica Babić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-06-28, 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: usluge strujanja videa na zahtjev; YouTube; korisničke interakcije; model korisničkog ponašanja; iskustvena kvaliteta
• Keywords (english): video streaming on demand; YouTube; user interactions; user behaviour model; quality of experience
• Language: croatian
• URN:NBN: urn:nbn:hr:168:680430
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 08:48:27