Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan

Nowadays, recommendation system is the most widely system people used. Recommendation system can help people to find the right items that match to their interest. Besides, recommendation system also popular in tourism industry. People are going to travel for many reasons. Sometimes, they are going t...

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Main Author:	Shahidan, Nur Amirah
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Mathematical statistics Probabilities Data processing Instruments and machines Real-time programming Data mining
Online Access:	https://ir.uitm.edu.my/id/eprint/55325/1/55325.pdf
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id	my-uitm-ir.55325
record_format	uketd_dc
spelling	my-uitm-ir.553252022-01-25T08:53:59Z Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan 2021-02 Shahidan, Nur Amirah Mathematical statistics. Probabilities Data processing Instruments and machines Electronic Computers. Computer Science Real-time programming Data mining Web-based user interfaces. User interfaces (Computer systems) Nowadays, recommendation system is the most widely system people used. Recommendation system can help people to find the right items that match to their interest. Besides, recommendation system also popular in tourism industry. People are going to travel for many reasons. Sometimes, they are going to the destination that they are never been there. Traveller often confused about where they want to go since they are not familiar with the places. Because of that, traveller need something to recommend them some places they can go. Recommendation system can helps traveller when they are going to travel, reaching a new and unfamiliar places. The proposed system which is Travel Place Recommendation System using K-Nearest Neighbors can helps traveller to find they places they might be interested with. The Travel Place Recommendation System will calculate the similarity between user’s rating and compare each of the user to recommend several travel places to user. The method has been proposed in the recommendation system is K-Nearest Neighbors algorithm. K-Nearest Neighbors algorithm is widely used among classification algorithm in recommendation system. It will generate the recommended places by comparing the K items with the neighbors. The result from the proposed system is recommendation system will display five recommended travel places to user. As a conclusion, Travel Place Recommendation System has been successfully developed by using the attributes of the system which is place rating. The algorithm used in the recommendation system has been evaluated by using MAE, MSE and RMSE to calculate the accuracy of the algorithm. However, Travel Place Recommendation System consists several limitation that need to improve to make the recommendation system become successful and attract more users. 2021-02 Thesis https://ir.uitm.edu.my/id/eprint/55325/ https://ir.uitm.edu.my/id/eprint/55325/1/55325.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Nik Daud, Nik Marsyahariani
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Nik Daud, Nik Marsyahariani
topic	Mathematical statistics Probabilities Data processing Instruments and machines Mathematical statistics Probabilities Real-time programming Data mining Mathematical statistics Probabilities
spellingShingle	Mathematical statistics Probabilities Data processing Instruments and machines Mathematical statistics Probabilities Real-time programming Data mining Mathematical statistics Probabilities Shahidan, Nur Amirah Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan
description	Nowadays, recommendation system is the most widely system people used. Recommendation system can help people to find the right items that match to their interest. Besides, recommendation system also popular in tourism industry. People are going to travel for many reasons. Sometimes, they are going to the destination that they are never been there. Traveller often confused about where they want to go since they are not familiar with the places. Because of that, traveller need something to recommend them some places they can go. Recommendation system can helps traveller when they are going to travel, reaching a new and unfamiliar places. The proposed system which is Travel Place Recommendation System using K-Nearest Neighbors can helps traveller to find they places they might be interested with. The Travel Place Recommendation System will calculate the similarity between user’s rating and compare each of the user to recommend several travel places to user. The method has been proposed in the recommendation system is K-Nearest Neighbors algorithm. K-Nearest Neighbors algorithm is widely used among classification algorithm in recommendation system. It will generate the recommended places by comparing the K items with the neighbors. The result from the proposed system is recommendation system will display five recommended travel places to user. As a conclusion, Travel Place Recommendation System has been successfully developed by using the attributes of the system which is place rating. The algorithm used in the recommendation system has been evaluated by using MAE, MSE and RMSE to calculate the accuracy of the algorithm. However, Travel Place Recommendation System consists several limitation that need to improve to make the recommendation system become successful and attract more users.
format	Thesis
qualification_level	Bachelor degree
author	Shahidan, Nur Amirah
author_facet	Shahidan, Nur Amirah
author_sort	Shahidan, Nur Amirah
title	Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan
title_short	Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan
title_full	Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan
title_fullStr	Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan
title_full_unstemmed	Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan
title_sort	travel place recommendation system using k-nearest neighbors algorithm / nur amirah shahidan
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/55325/1/55325.pdf
_version_	1783734912652673024

Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan

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