Kuala Terengganu homestay recommender system using Content Based filtering algorithm / Nur Atierah Nor Azman

Kuala Terengganu's tourism industry is expanding quickly, which has increased demand for acceptable hospitality and lodging alternatives. However, finding the ideal homestay that aligns with user preference can be time taking task. Hence, ContentBased filtering is capable to find the matching h...

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Main Author:	Nor Azman, Nur Atierah
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/96439/1/96439.pdf
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id	my-uitm-ir.96439
record_format	uketd_dc
spelling	my-uitm-ir.964392024-06-05T23:35:27Z Kuala Terengganu homestay recommender system using Content Based filtering algorithm / Nur Atierah Nor Azman 2024 Nor Azman, Nur Atierah Algorithms Kuala Terengganu's tourism industry is expanding quickly, which has increased demand for acceptable hospitality and lodging alternatives. However, finding the ideal homestay that aligns with user preference can be time taking task. Hence, ContentBased filtering is capable to find the matching homestay based on the user preferrable criteria of the homestay such as price, locations and availability. Then in order to identify the distinguishing features or term of the homestay, TF-IDF will be calculating the importance term in the homestay review or description. By analyzing this textual content, TF-IDF will creates a representation of each homestay in the form of a corpus vector. It is required to find and compares the similarity between the user’s preferences and the characteristics of the homestay. The similarity measure needs to be done in order to generate the recommendations. Cosine Similarity and TF-IDF will allow the prototype to identify the homestays that align closely with the user’s desired features. The system's performance is meticulously evaluated through precision at 79.3%, recall at 93%, F1-score at 86%, RMSE at 9.95 and MAE at 9.42. These results demonstrate the system capability to offer accurate and relevant homestay suggestions. The project has successfully achieved all of the objectives and able to demonstrated the practical application of content-based filtering algorithm. 2024 Thesis https://ir.uitm.edu.my/id/eprint/96439/ https://ir.uitm.edu.my/id/eprint/96439/1/96439.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Nik Daud, Nik Marsyahariani
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Nik Daud, Nik Marsyahariani
topic	Algorithms
spellingShingle	Algorithms Nor Azman, Nur Atierah Kuala Terengganu homestay recommender system using Content Based filtering algorithm / Nur Atierah Nor Azman
description	Kuala Terengganu's tourism industry is expanding quickly, which has increased demand for acceptable hospitality and lodging alternatives. However, finding the ideal homestay that aligns with user preference can be time taking task. Hence, ContentBased filtering is capable to find the matching homestay based on the user preferrable criteria of the homestay such as price, locations and availability. Then in order to identify the distinguishing features or term of the homestay, TF-IDF will be calculating the importance term in the homestay review or description. By analyzing this textual content, TF-IDF will creates a representation of each homestay in the form of a corpus vector. It is required to find and compares the similarity between the user’s preferences and the characteristics of the homestay. The similarity measure needs to be done in order to generate the recommendations. Cosine Similarity and TF-IDF will allow the prototype to identify the homestays that align closely with the user’s desired features. The system's performance is meticulously evaluated through precision at 79.3%, recall at 93%, F1-score at 86%, RMSE at 9.95 and MAE at 9.42. These results demonstrate the system capability to offer accurate and relevant homestay suggestions. The project has successfully achieved all of the objectives and able to demonstrated the practical application of content-based filtering algorithm.
format	Thesis
qualification_level	Bachelor degree
author	Nor Azman, Nur Atierah
author_facet	Nor Azman, Nur Atierah
author_sort	Nor Azman, Nur Atierah
title	Kuala Terengganu homestay recommender system using Content Based filtering algorithm / Nur Atierah Nor Azman
title_short	Kuala Terengganu homestay recommender system using Content Based filtering algorithm / Nur Atierah Nor Azman
title_full	Kuala Terengganu homestay recommender system using Content Based filtering algorithm / Nur Atierah Nor Azman
title_fullStr	Kuala Terengganu homestay recommender system using Content Based filtering algorithm / Nur Atierah Nor Azman
title_full_unstemmed	Kuala Terengganu homestay recommender system using Content Based filtering algorithm / Nur Atierah Nor Azman
title_sort	kuala terengganu homestay recommender system using content based filtering algorithm / nur atierah nor azman
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2024
url	https://ir.uitm.edu.my/id/eprint/96439/1/96439.pdf
_version_	1804889988255449088

Kuala Terengganu homestay recommender system using Content Based filtering algorithm / Nur Atierah Nor Azman

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