Web content adaptation for mobile devices using tree-based algorithms


Anam, Rajibul (2012) Web content adaptation for mobile devices using tree-based algorithms. Masters thesis, Multimedia University.

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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.

Item Type: Thesis (Masters)
Additional Information: Call. No.: QA76.76.A63 R35 2012
Uncontrolled Keywords: Application program interfaces (Computer software)
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 26 Jan 2016 02:53
Last Modified: 26 Jan 2016 02:53
URII: http://shdl.mmu.edu.my/id/eprint/6283


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