Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi

Online shopping has become a huge phenomenon lately. User or customer tends to compare the prices of homogeneous clothing category from different websites of online store before choosing and buying the item. User consumes a lot of time and money in order to compare the prices from multiple websites...

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Main Author:	Ramzi, Nurul Syazwani
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Web-based user interfaces User interfaces (Computer systems)
Online Access:	https://ir.uitm.edu.my/id/eprint/18940/1/TD_NURUL%20SYAZWANI%20RAMZI%20M%20CS%2017_5.pdf
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id	my-uitm-ir.18940
record_format	uketd_dc
spelling	my-uitm-ir.189402018-01-29T08:01:07Z Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi 2017 Ramzi, Nurul Syazwani Web-based user interfaces. User interfaces (Computer systems) Online shopping has become a huge phenomenon lately. User or customer tends to compare the prices of homogeneous clothing category from different websites of online store before choosing and buying the item. User consumes a lot of time and money in order to compare the prices from multiple websites at one time manually since user needs to visit each of clothing websites. To solve this problem, online Clothing Shopbots via Web Content Extraction is developed so it can help user to reduce the time and money consumed to compare the prices because all the items and prices from multiple websites can be compared in just one website to ease the user or customer. Therefore, agile development methodology is very useful method to make the system successful and can be developed according to the schedule. An algorithm vision based page segmentation algorithm will be implemented in this system to extract the data from multiple websites and will be displayed in new website. By using this algorithm, the web page is segmented into several big blocks. These block tree is constructed by using DOM (document object model) tree. After that the data is searched using the nodes. A functionality testing is done to make sure the system meets the objectives. This system is useful for the user to make a right decision to buy a product without spending much money and time. 2017 Thesis https://ir.uitm.edu.my/id/eprint/18940/ https://ir.uitm.edu.my/id/eprint/18940/1/TD_NURUL%20SYAZWANI%20RAMZI%20M%20CS%2017_5.pdf text en public dphil degree Universiti Teknologi MARA , Melaka Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Web-based user interfaces User interfaces (Computer systems)
spellingShingle	Web-based user interfaces User interfaces (Computer systems) Ramzi, Nurul Syazwani Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
description	Online shopping has become a huge phenomenon lately. User or customer tends to compare the prices of homogeneous clothing category from different websites of online store before choosing and buying the item. User consumes a lot of time and money in order to compare the prices from multiple websites at one time manually since user needs to visit each of clothing websites. To solve this problem, online Clothing Shopbots via Web Content Extraction is developed so it can help user to reduce the time and money consumed to compare the prices because all the items and prices from multiple websites can be compared in just one website to ease the user or customer. Therefore, agile development methodology is very useful method to make the system successful and can be developed according to the schedule. An algorithm vision based page segmentation algorithm will be implemented in this system to extract the data from multiple websites and will be displayed in new website. By using this algorithm, the web page is segmented into several big blocks. These block tree is constructed by using DOM (document object model) tree. After that the data is searched using the nodes. A functionality testing is done to make sure the system meets the objectives. This system is useful for the user to make a right decision to buy a product without spending much money and time.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Bachelor degree
author	Ramzi, Nurul Syazwani
author_facet	Ramzi, Nurul Syazwani
author_sort	Ramzi, Nurul Syazwani
title	Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
title_short	Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
title_full	Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
title_fullStr	Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
title_full_unstemmed	Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
title_sort	online clothing shopbots via web content extraction / nurul syazwani ramzi
granting_institution	Universiti Teknologi MARA , Melaka
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/18940/1/TD_NURUL%20SYAZWANI%20RAMZI%20M%20CS%2017_5.pdf
_version_	1783733718944317440

Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi

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