Modeling relation between technical parameters of web page design and its aestethicsPerić, Dražen (Avtor) Bosnić, Zoran (Mentor) web designmachine learningHTMLCSSevaluationchrome extensioncomputer sciencecomputer and information sciencemaster's degreeWeb 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.[D. Perić]20152015-01-30 12:20:00Magistrsko delo/naloga30542VisID: 14107COBISS_ID: 1536203203sl