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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]

The amount of information available in the World Wide Web has drastically increased nowadays. All this information may be particularly useful for users who plan to visit any places of their interest but a list possibilities search results by the Web search engines will be overwhelming. To decide whi...

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Main Authors: Saad, Nor Liza, Khairudin, Nurkhairizan, Azizan, Azilawati, Abd Rahman, Abdullah Sani, Ibrahim, Roslina
Format: Article
Language:English
Published: Universiti Teknologi MARA, Perak 2022
Subjects:
QA Mathematics
Computer software
Application software
Online Access:https://ir.uitm.edu.my/id/eprint/61709/1/61709.pdf
https://ir.uitm.edu.my/id/eprint/61709/
https://mijuitm.com.my/view-articles/
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id my.uitm.ir.61709
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spelling my.uitm.ir.617092023-06-22T03:07:23Z https://ir.uitm.edu.my/id/eprint/61709/ Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.] msij Saad, Nor Liza Khairudin, Nurkhairizan Azizan, Azilawati Abd Rahman, Abdullah Sani Ibrahim, Roslina QA Mathematics Computer software Application software The amount of information available in the World Wide Web has drastically increased nowadays. All this information may be particularly useful for users who plan to visit any places of their interest but a list possibilities search results by the Web search engines will be overwhelming. To decide which options suit to their interest from the long list of options can be tricky and time consuming mainly for Muslim travelers who have a few of religion constraints. The objective of this research is to develop a tourist mobile application that can be incorporated with machine learning based recommender system. For the initial framework, the tourist mobile application prototype was developed based on Penang tourist areas by using Waterfall Model system development approach. The application prototype was evaluated based on usability study as to get insight the users’ acceptance. Furthermore, data were collected simulated based on the mobile application prototype to be used for finding the suitable machine learning algorithms in the recommendation system module. Based on usability study, most users agreed that the tourist mobile application is easier and useful for them. From the machine learning evaluation, Random Forest algorithm has generated the most accurate prediction compared to Decision Tree, Logistic Regression and Generalized Linear Model. This paper provides the fundamental knowledges on machine learning design and evaluation useful in the tourist mobile application with context-aware recommender system. Universiti Teknologi MARA, Perak 2022-05 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/61709/1/61709.pdf Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]. (2022) Mathematical Sciences and Informatics Journal (MIJ) <https://ir.uitm.edu.my/view/publication/Mathematical_Sciences_and_Informatics_Journal_=28MIJ=29.html>, 3 (1). pp. 19-28. ISSN 2735-0703 https://mijuitm.com.my/view-articles/ 10.24191/mij.v2i2.18263 10.24191/mij.v2i2.18263 10.24191/mij.v2i2.18263
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic QA Mathematics
Computer software
Application software
spellingShingle QA Mathematics
Computer software
Application software
Saad, Nor Liza
Khairudin, Nurkhairizan
Azizan, Azilawati
Abd Rahman, Abdullah Sani
Ibrahim, Roslina
Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
description The amount of information available in the World Wide Web has drastically increased nowadays. All this information may be particularly useful for users who plan to visit any places of their interest but a list possibilities search results by the Web search engines will be overwhelming. To decide which options suit to their interest from the long list of options can be tricky and time consuming mainly for Muslim travelers who have a few of religion constraints. The objective of this research is to develop a tourist mobile application that can be incorporated with machine learning based recommender system. For the initial framework, the tourist mobile application prototype was developed based on Penang tourist areas by using Waterfall Model system development approach. The application prototype was evaluated based on usability study as to get insight the users’ acceptance. Furthermore, data were collected simulated based on the mobile application prototype to be used for finding the suitable machine learning algorithms in the recommendation system module. Based on usability study, most users agreed that the tourist mobile application is easier and useful for them. From the machine learning evaluation, Random Forest algorithm has generated the most accurate prediction compared to Decision Tree, Logistic Regression and Generalized Linear Model. This paper provides the fundamental knowledges on machine learning design and evaluation useful in the tourist mobile application with context-aware recommender system.
format Article
author Saad, Nor Liza
Khairudin, Nurkhairizan
Azizan, Azilawati
Abd Rahman, Abdullah Sani
Ibrahim, Roslina
author_facet Saad, Nor Liza
Khairudin, Nurkhairizan
Azizan, Azilawati
Abd Rahman, Abdullah Sani
Ibrahim, Roslina
author_sort Saad, Nor Liza
title Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
title_short Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
title_full Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
title_fullStr Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
title_full_unstemmed Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
title_sort context-aware recommender system based on machine learning in tourist mobile application / nor liza saad … [et al.]
publisher Universiti Teknologi MARA, Perak
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/61709/1/61709.pdf
https://ir.uitm.edu.my/id/eprint/61709/
https://mijuitm.com.my/view-articles/
_version_ 1769846467583803392
score 13.211869

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