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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:English
English
Published: 2001
Subjects:
TK5101-6720 Telecommunication
Online Access:http://etd.uum.edu.my/413/1/Tan_Hong_Keat%2C_2001.pdf
http://etd.uum.edu.my/413/2/1.Tan_Hong_Keat%2C_2001.pdf
http://etd.uum.edu.my/413/
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spelling my.uum.etd.4132013-07-24T12:07:09Z http://etd.uum.edu.my/413/ Relevancy Of The Search Result Using A1 Techniques Tan, Hong Keat 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 NonPeerReviewed application/pdf en http://etd.uum.edu.my/413/1/Tan_Hong_Keat%2C_2001.pdf application/pdf en http://etd.uum.edu.my/413/2/1.Tan_Hong_Keat%2C_2001.pdf Tan, Hong Keat (2001) Relevancy Of The Search Result Using A1 Techniques. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
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
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
publishDate 2001
url http://etd.uum.edu.my/413/1/Tan_Hong_Keat%2C_2001.pdf
http://etd.uum.edu.my/413/2/1.Tan_Hong_Keat%2C_2001.pdf
http://etd.uum.edu.my/413/
_version_ 1644276158629412864
score 13.211869

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