An integration of AHP-ACO technique for social interaction and travel planning
The current web and mobile computing technologies have encouraged all sorts of applications mushroom in the market. However, most of the application that available does not integrate the place recommendation and route planning. Besides that, improving the processing speed of the algorithm is also a...
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my-utem-ep.183612022-05-30T16:17:02Z An integration of AHP-ACO technique for social interaction and travel planning 2016 Peh, Perly Thai Ee Q Science (General) QA Mathematics The current web and mobile computing technologies have encouraged all sorts of applications mushroom in the market. However, most of the application that available does not integrate the place recommendation and route planning. Besides that, improving the processing speed of the algorithm is also another challenge of this research. Thus, the objectives of this research is to integrate the place recommendation based on profile preference using Analytic Hierarchy Process (AHP) method and route planning using ACO method. The second objective of this research is to enhance the processing speed of the proposed AHP-ACO technique in generating the optimum route plan. This study presents the integration methods of AHP algorithm for point of interest decision-making and ACO and rule-based algorithms for route optimization. AHP interest scores based on user preferences, business information and community reviews are used to model decision making. ACO and rule-based algorithms are used to arrange the itinerary of the place of interest that either has been chosen by the user or recommended by the system.The integration AHP-ACO method has been enhanced to reduce the execution time from 5 minutes to 30 seconds for 7 days trip planning. Object Oriented Software Engineering(OOSE) methodology has been used to build the mobile recommender system prototype and web application prototype. Questionnaires have been distributed to collect user feedback. The results show that the integration method is promising for helping the user in making decisions and itinerary arrangements. 2016 Thesis http://eprints.utem.edu.my/id/eprint/18361/ http://eprints.utem.edu.my/id/eprint/18361/1/An%20Integration%20Of%20AHP-ACO%20Technique%20For%20Social%20Interaction%20And%20Travel%20Planning.pdf text en public http://eprints.utem.edu.my/id/eprint/18361/2/An%20integration%20of%20AHP-ACO%20technique%20for%20social%20interaction%20and%20travel%20planning.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100149 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology Choo, Yun Huay |
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Universiti Teknikal Malaysia Melaka |
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English English |
advisor |
Choo, Yun Huay |
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Q Science (General) QA Mathematics |
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Q Science (General) QA Mathematics Peh, Perly Thai Ee An integration of AHP-ACO technique for social interaction and travel planning |
description |
The current web and mobile computing technologies have encouraged all sorts of applications mushroom in the market. However, most of the application that available
does not integrate the place recommendation and route planning. Besides that, improving the processing speed of the algorithm is also another challenge of this research. Thus, the objectives of this research is to integrate the place recommendation based on profile preference using Analytic Hierarchy Process (AHP) method and route planning using ACO method. The second objective of this research is to enhance the processing speed of the proposed AHP-ACO technique in generating the optimum route plan. This study
presents the integration methods of AHP algorithm for point of interest decision-making and ACO and rule-based algorithms for route optimization. AHP interest scores based on user preferences, business information and community reviews are used to model decision making. ACO and rule-based algorithms are used to arrange the itinerary of the place of interest that either has been chosen by the user or recommended by the system.The integration AHP-ACO method has been enhanced to reduce the execution time from
5 minutes to 30 seconds for 7 days trip planning. Object Oriented Software Engineering(OOSE) methodology has been used to build the mobile recommender system prototype
and web application prototype. Questionnaires have been distributed to collect user feedback. The results show that the integration method is promising for helping the user
in making decisions and itinerary arrangements. |
format |
Thesis |
qualification_name |
Master of Philosophy (M.Phil.) |
qualification_level |
Master's degree |
author |
Peh, Perly Thai Ee |
author_facet |
Peh, Perly Thai Ee |
author_sort |
Peh, Perly Thai Ee |
title |
An integration of AHP-ACO technique for social interaction and travel planning |
title_short |
An integration of AHP-ACO technique for social interaction and travel planning |
title_full |
An integration of AHP-ACO technique for social interaction and travel planning |
title_fullStr |
An integration of AHP-ACO technique for social interaction and travel planning |
title_full_unstemmed |
An integration of AHP-ACO technique for social interaction and travel planning |
title_sort |
integration of ahp-aco technique for social interaction and travel planning |
granting_institution |
Universiti Teknikal Malaysia Melaka |
granting_department |
Faculty of Information and Communication Technology |
publishDate |
2016 |
url |
http://eprints.utem.edu.my/id/eprint/18361/1/An%20Integration%20Of%20AHP-ACO%20Technique%20For%20Social%20Interaction%20And%20Travel%20Planning.pdf http://eprints.utem.edu.my/id/eprint/18361/2/An%20integration%20of%20AHP-ACO%20technique%20for%20social%20interaction%20and%20travel%20planning.pdf |
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