Implementation of Hybrid Method in Tourism Place Recommendation System Based on Image Features

In the industrial 4.0 era, there is an explosion of unstructured and structured data that produces broad and varied knowledge information that humans cannot process quickly. This issue makes the existence of recommendation systems meaningful. This system studies the existing information and provides...

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Main Authors: Steven Arwidarasto, Desti Fitriati
Format: Article
Language:English
Published: Kresnamedia Publisher 2023-06-01
Series:Jurnal Riset Informatika
Subjects:
Online Access:https://ejournal.kresnamediapublisher.com/index.php/jri/article/view/526
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author Steven Arwidarasto
Desti Fitriati
author_facet Steven Arwidarasto
Desti Fitriati
author_sort Steven Arwidarasto
collection DOAJ
description In the industrial 4.0 era, there is an explosion of unstructured and structured data that produces broad and varied knowledge information that humans cannot process quickly. This issue makes the existence of recommendation systems meaningful. This system studies the existing information and provides suggestions according to the user's will. In the past, many recommendation systems have focused more on content-based filtering methods where recommendation results are similar based on the features of the Content that match the user's personality. This method limits the variety of information that is relevant to users. In addition, in the context of tourist attractions, many studies have not used image data that can contain many objects in one frame as a determining factor in providing recommendations. Therefore, in this study, the authors propose to add image features as one of the parameters of the recommendation system to determine the impact of using image features on the model performance. The best performance obtained is 0.364 RMSE metric using the Hybrid Image method.
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spelling doaj.art-ff688aa919c34c1aa8f18e068c5133b12023-09-11T04:17:56ZengKresnamedia PublisherJurnal Riset Informatika2656-17432656-17352023-06-015340140810.34288/jri.v5i3.526526Implementation of Hybrid Method in Tourism Place Recommendation System Based on Image FeaturesSteven Arwidarasto0Desti Fitriati1Universitas PancasilaUniversitas PancasilaIn the industrial 4.0 era, there is an explosion of unstructured and structured data that produces broad and varied knowledge information that humans cannot process quickly. This issue makes the existence of recommendation systems meaningful. This system studies the existing information and provides suggestions according to the user's will. In the past, many recommendation systems have focused more on content-based filtering methods where recommendation results are similar based on the features of the Content that match the user's personality. This method limits the variety of information that is relevant to users. In addition, in the context of tourist attractions, many studies have not used image data that can contain many objects in one frame as a determining factor in providing recommendations. Therefore, in this study, the authors propose to add image features as one of the parameters of the recommendation system to determine the impact of using image features on the model performance. The best performance obtained is 0.364 RMSE metric using the Hybrid Image method.https://ejournal.kresnamediapublisher.com/index.php/jri/article/view/526industrialrecommendationsimilarimagevaried
spellingShingle Steven Arwidarasto
Desti Fitriati
Implementation of Hybrid Method in Tourism Place Recommendation System Based on Image Features
Jurnal Riset Informatika
industrial
recommendation
similar
image
varied
title Implementation of Hybrid Method in Tourism Place Recommendation System Based on Image Features
title_full Implementation of Hybrid Method in Tourism Place Recommendation System Based on Image Features
title_fullStr Implementation of Hybrid Method in Tourism Place Recommendation System Based on Image Features
title_full_unstemmed Implementation of Hybrid Method in Tourism Place Recommendation System Based on Image Features
title_short Implementation of Hybrid Method in Tourism Place Recommendation System Based on Image Features
title_sort implementation of hybrid method in tourism place recommendation system based on image features
topic industrial
recommendation
similar
image
varied
url https://ejournal.kresnamediapublisher.com/index.php/jri/article/view/526
work_keys_str_mv AT stevenarwidarasto implementationofhybridmethodintourismplacerecommendationsystembasedonimagefeatures
AT destifitriati implementationofhybridmethodintourismplacerecommendationsystembasedonimagefeatures