Web content adaptation for mobile devices using tree-based algorithms

Mobile web browsing usually becomes time-consuming since currently it requires horizontal and vertical scrolling In addition to this, users interested in only a section of a web page are often burdened with cumbersome whole web pages that not only do not properly fit their mobile screens but also re...

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Bibliographic Details
Main Author:	Anam, Rajibul
Format:	Thesis
Published:	2012
Subjects:	QA76.75-76.765 Computer software
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id	my-mmu-ep.6283
record_format	uketd_dc
spelling	my-mmu-ep.62832016-01-26T02:53:41Z Web content adaptation for mobile devices using tree-based algorithms 2012-09 Anam, Rajibul QA76.75-76.765 Computer software Mobile web browsing usually becomes time-consuming since currently it requires horizontal and vertical scrolling In addition to this, users interested in only a section of a web page are often burdened with cumbersome whole web pages that not only do not properly fit their mobile screens but also require a lot of delivery time. This problem can be addressed and resolved with the help of a mobile web content adaptation system. The system will enable users to access the target content faster on a mobile device. Existing web content adaptation systems focus on resizing contents to fit a mobile device and removing unnecessary contents from the adapted web page. To the best of our knowledge, there is no web content adaptation system that rearranges the web contents to reduce the time taken for locating information on a web page. This research aims to address the gap by proposing two different techniques for web content adaptation. The first technique, the GreedyAdapter, is a semi-automated mobile web content adaptation system. The second technique, the TreeAdapt, provides automated mobile web content adaptation. 2012-09 Thesis http://shdl.mmu.edu.my/6283/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Computing and Informatics
institution	Multimedia University
collection	MMU Institutional Repository
topic	QA76.75-76.765 Computer software
spellingShingle	QA76.75-76.765 Computer software Anam, Rajibul Web content adaptation for mobile devices using tree-based algorithms
description	Mobile web browsing usually becomes time-consuming since currently it requires horizontal and vertical scrolling In addition to this, users interested in only a section of a web page are often burdened with cumbersome whole web pages that not only do not properly fit their mobile screens but also require a lot of delivery time. This problem can be addressed and resolved with the help of a mobile web content adaptation system. The system will enable users to access the target content faster on a mobile device. Existing web content adaptation systems focus on resizing contents to fit a mobile device and removing unnecessary contents from the adapted web page. To the best of our knowledge, there is no web content adaptation system that rearranges the web contents to reduce the time taken for locating information on a web page. This research aims to address the gap by proposing two different techniques for web content adaptation. The first technique, the GreedyAdapter, is a semi-automated mobile web content adaptation system. The second technique, the TreeAdapt, provides automated mobile web content adaptation.
format	Thesis
qualification_level	Master's degree
author	Anam, Rajibul
author_facet	Anam, Rajibul
author_sort	Anam, Rajibul
title	Web content adaptation for mobile devices using tree-based algorithms
title_short	Web content adaptation for mobile devices using tree-based algorithms
title_full	Web content adaptation for mobile devices using tree-based algorithms
title_fullStr	Web content adaptation for mobile devices using tree-based algorithms
title_full_unstemmed	Web content adaptation for mobile devices using tree-based algorithms
title_sort	web content adaptation for mobile devices using tree-based algorithms
granting_institution	Multimedia University
granting_department	Faculty of Computing and Informatics
publishDate	2012
_version_	1747829620946763776

Web content adaptation for mobile devices using tree-based algorithms

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