Please use this identifier to cite or link to this item:
https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4158
Title: | UNSUPERVISED DISCOVERY OF DESIGN FEATURES OF WEBSITES |
Authors: | Dissanayake, D.M.S. |
Keywords: | Web Sites Machine Learning Web Development |
Issue Date: | 19-Jul-2021 |
Abstract: | Web development is one of the top emerging fields in the IT industry. The User Interface (UI) design of a website plays an essential role in attracting new users and engaging them on your web pages which helps in boosting up sales and revenue. A unique design template will help to increase the user interaction among the visitors of the page and also assure value for the time and resources spent on a page. Web designers design the websites either by using an existing template or by creating the design from scratch. The overall outcome of the design template of a website almost depends on the design skills of the web designer. So there should be better way to design a good template without depending on human interaction. In order to auto-generate the websites, we should know how to classify the websites based on their appearance and identify the core features uniquely identify a design. This research was conducted in order to create a classifier for existing websites available in the internet. |
URI: | http://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4158 |
Appears in Collections: | 2019 |
Files in This Item:
File | Description | Size | Format | |
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2015 CS 038.pdf | 16.54 MB | Adobe PDF | View/Open |
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