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Modeling relation between technical parameters of web page design and its aestethics : masters thesis
Perić, Dražen (Author), Bosnić, Zoran (Mentor) More about this mentor... This link opens in a new window

URLURL - Presentation file, Visit http://eprints.fri.uni-lj.si/2906/ This link opens in a new window

Abstract
Spletno oblikovanje je, že dve desetletji, pomemben del spletnih strani. Podaja jim neko identiteto in se nagiba k temu, da končnemu uporabniku izroči informacije na strukturiran, organiziran in eleganten način. Ker so lahko izkušnje uporabnika tudi slabe, bomo v tem delu magistrske naloge skušali vzpostaviti odnos med spletnim oblikovanjem in uporabniško izkušnjo-predvsem z vidika estetike. Cilj je definirati in predlagati merila za ocenjevanje spletnega oblikovanja, s pomočjo ocenjenih spletnih strani (pristop “crowd-sourcing”) določiti kakovost le-tega ter prikazati odnos med oblikovanjem in uporabniško oceno s pomočjo modelov strojnega učenja. Najuspešnejši model bomo uporabili za gradnjo razširitve v brskalniku Google Chrome, ki ocenjuje spletne strani in oblikovalcu oz. razvijalcu podaja priporočila za izboljšavo spletnega oblikovanja.

Language:English
Keywords:web design, machine learning, HTML, CSS, evaluation, chrome extension, računalništvo, računalništvo in informatika, magisteriji
Work type:Master's thesis/paper (mb22)
Tipology:2.09 - Master's Thesis
Organization:FRI - Faculty of computer and information science
Year:2015
Publisher:[D. Perić]
Number of pages:55 str.
UDC:004.774.6:004.85(043.2)
COBISS.SI-ID:1536203203 Link is opened in a new window
Views:566
Downloads:191
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Secondary language

Language:Slovenian
Title:Modeling relation between technical parameters of web page design and its aestethics
Abstract:
Web design has been an important part of websites for almost two decades now. It gives identity to websites and tends to deliver information to end users in a structured, organized and elegant way. Occasionally it also fails, delivering poor experience to end users who want to access information they are looking for. In this thesis, we model a relationship between the attributional description and user experience of web design, focusing on the aesthetic point of view. Our goals are the following: to define attributes which can describe web page design in a suitable way, to collect a set of websites, calculate their descriptors, supplement them with human-based aesthetics ratings through crowd-sourcing, and model the relationship between the design and the ratings by using machine learning models. We use the best performing model to develop a Chrome extension prototype that will give users the possibility to evaluate and analyze the design of websites.

Keywords:spletno oblikovanje, strojno učenje, HTML, CSS, ocenjevanje, chrome razrešitev, computer science, computer and information science, master's degree

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