Relevancy Of The Search Result Using A1 Techniques

For any search tools, the main objective is to improve the ratio of the number of hits to number of retrievals. The objective of this project is to develop an intelligent tool for determining the relevancy of the search result, with respect to users' keyword. Northern Light Power Search engine...

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Main Author:	Tan, Hong Keat
Format:	Thesis
Language:	eng eng
Published:	2001
Subjects:	TK5101-6720 Telecommunication
Online Access:	https://etd.uum.edu.my/413/1/Tan_Hong_Keat%2C_2001.pdf https://etd.uum.edu.my/413/2/1.Tan_Hong_Keat%2C_2001.pdf
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id	my-uum-etd.413
record_format	uketd_dc
spelling	my-uum-etd.4132013-07-24T12:07:09Z Relevancy Of The Search Result Using A1 Techniques 2001 Tan, Hong Keat Sekolah Siswazah Sekolah Siswazah TK5101-6720 Telecommunication For any search tools, the main objective is to improve the ratio of the number of hits to number of retrievals. The objective of this project is to develop an intelligent tool for determining the relevancy of the search result, with respect to users' keyword. Northern Light Power Search engine was used with specific keywords that are related to neural network. Hypertext and computer science domain was the focus of this study. An intelligent model that can categorize search result as relevant or irrelevant to the keyword specified was developed. This software development was divided into two parts, the first part concentrated on software development to count and categorized keyword in pre-defined format. The second part focus on software development for neural network model with autodetermining capability. Java programming language was used as the programming language to develop the software. Multilayer Perceptron was utilizes as the neural network model implemented in this study. Generic layer and notation of neural network formula were derived from classical model. Prior to the Multilayer Perceptron software development, the data from hypertext keyword counter software was used in "Neural Connection" to confirm the best result that could be acheved. The result from "Neural Connection" has achleved more than 96%. However, the results produced by the developed software decreased by 15%. This may due to the fact that the developed software used non-linear activation function at hidden as well as the output layer. 2001 Thesis https://etd.uum.edu.my/413/ https://etd.uum.edu.my/413/1/Tan_Hong_Keat%2C_2001.pdf application/pdf eng validuser https://etd.uum.edu.my/413/2/1.Tan_Hong_Keat%2C_2001.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	TK5101-6720 Telecommunication
spellingShingle	TK5101-6720 Telecommunication Tan, Hong Keat Relevancy Of The Search Result Using A1 Techniques
description	For any search tools, the main objective is to improve the ratio of the number of hits to number of retrievals. The objective of this project is to develop an intelligent tool for determining the relevancy of the search result, with respect to users' keyword. Northern Light Power Search engine was used with specific keywords that are related to neural network. Hypertext and computer science domain was the focus of this study. An intelligent model that can categorize search result as relevant or irrelevant to the keyword specified was developed. This software development was divided into two parts, the first part concentrated on software development to count and categorized keyword in pre-defined format. The second part focus on software development for neural network model with autodetermining capability. Java programming language was used as the programming language to develop the software. Multilayer Perceptron was utilizes as the neural network model implemented in this study. Generic layer and notation of neural network formula were derived from classical model. Prior to the Multilayer Perceptron software development, the data from hypertext keyword counter software was used in "Neural Connection" to confirm the best result that could be acheved. The result from "Neural Connection" has achleved more than 96%. However, the results produced by the developed software decreased by 15%. This may due to the fact that the developed software used non-linear activation function at hidden as well as the output layer.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Tan, Hong Keat
author_facet	Tan, Hong Keat
author_sort	Tan, Hong Keat
title	Relevancy Of The Search Result Using A1 Techniques
title_short	Relevancy Of The Search Result Using A1 Techniques
title_full	Relevancy Of The Search Result Using A1 Techniques
title_fullStr	Relevancy Of The Search Result Using A1 Techniques
title_full_unstemmed	Relevancy Of The Search Result Using A1 Techniques
title_sort	relevancy of the search result using a1 techniques
granting_institution	Universiti Utara Malaysia
granting_department	Sekolah Siswazah
publishDate	2001
url	https://etd.uum.edu.my/413/1/Tan_Hong_Keat%2C_2001.pdf https://etd.uum.edu.my/413/2/1.Tan_Hong_Keat%2C_2001.pdf
_version_	1747826909464494080

Relevancy Of The Search Result Using A1 Techniques

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