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EatPlace: restaurant and café recommender system for tourist / Ahmad Tasnim Muhamad Azlan

Food tourism describes activities that allow visitors to try food and drinks that are unique to culture of certain ethnic or race. It includes values of the food to the history, culture and the environment of the country as well as tasting food and drink from different regions of the world. Recommen...

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Main Author: Muhamad Azlan, Ahmad Tasnim
Format: Student Project
Language:English
Published: 2022
Subjects:
Mobile computing
Online Access:https://ir.uitm.edu.my/id/eprint/83106/2/83106.pdf
https://ir.uitm.edu.my/id/eprint/83106/
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id my.uitm.ir.83106
record_format eprints
spelling my.uitm.ir.831062023-09-21T06:45:15Z https://ir.uitm.edu.my/id/eprint/83106/ EatPlace: restaurant and café recommender system for tourist / Ahmad Tasnim Muhamad Azlan Muhamad Azlan, Ahmad Tasnim Mobile computing Food tourism describes activities that allow visitors to try food and drinks that are unique to culture of certain ethnic or race. It includes values of the food to the history, culture and the environment of the country as well as tasting food and drink from different regions of the world. Recommender systems in this project, programmes that provide recommendations to users based on a set of criteria in finding restaurant or café. Tourist keep continue facing difficulty to decide where they wanted to have a meal in a foreign country. Therefore, this project aims to develop mobile application EatPlace: Restaurant and café recommendation system for tourist and evaluate the mobile application using functionality testing and user acceptance test. The location of the study focused on North-East district, Penang. The method used in this project is content based filtering for the recommender system in finding restaurant and café. It is a sort of recommender system that makes predictions what user would like based on past activity. Through the analysis of UAT, this project achieve objective and most participant would prefer using mobile application integrated with Google Maps to recommend a restaurant and café based on filtering preference than opening a browser to type and search a place to eat as tourist. Future recommendation for this project would have filters for halal and non-halal food and easier for Muslim users to identify the status of the restaurant. 2022 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/83106/2/83106.pdf EatPlace: restaurant and café recommender system for tourist / Ahmad Tasnim Muhamad Azlan. (2022) [Student Project] (Submitted)
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 Mobile computing
spellingShingle Mobile computing
Muhamad Azlan, Ahmad Tasnim
EatPlace: restaurant and café recommender system for tourist / Ahmad Tasnim Muhamad Azlan
description Food tourism describes activities that allow visitors to try food and drinks that are unique to culture of certain ethnic or race. It includes values of the food to the history, culture and the environment of the country as well as tasting food and drink from different regions of the world. Recommender systems in this project, programmes that provide recommendations to users based on a set of criteria in finding restaurant or café. Tourist keep continue facing difficulty to decide where they wanted to have a meal in a foreign country. Therefore, this project aims to develop mobile application EatPlace: Restaurant and café recommendation system for tourist and evaluate the mobile application using functionality testing and user acceptance test. The location of the study focused on North-East district, Penang. The method used in this project is content based filtering for the recommender system in finding restaurant and café. It is a sort of recommender system that makes predictions what user would like based on past activity. Through the analysis of UAT, this project achieve objective and most participant would prefer using mobile application integrated with Google Maps to recommend a restaurant and café based on filtering preference than opening a browser to type and search a place to eat as tourist. Future recommendation for this project would have filters for halal and non-halal food and easier for Muslim users to identify the status of the restaurant.
format Student Project
author Muhamad Azlan, Ahmad Tasnim
author_facet Muhamad Azlan, Ahmad Tasnim
author_sort Muhamad Azlan, Ahmad Tasnim
title EatPlace: restaurant and café recommender system for tourist / Ahmad Tasnim Muhamad Azlan
title_short EatPlace: restaurant and café recommender system for tourist / Ahmad Tasnim Muhamad Azlan
title_full EatPlace: restaurant and café recommender system for tourist / Ahmad Tasnim Muhamad Azlan
title_fullStr EatPlace: restaurant and café recommender system for tourist / Ahmad Tasnim Muhamad Azlan
title_full_unstemmed EatPlace: restaurant and café recommender system for tourist / Ahmad Tasnim Muhamad Azlan
title_sort eatplace: restaurant and café recommender system for tourist / ahmad tasnim muhamad azlan
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/83106/2/83106.pdf
https://ir.uitm.edu.my/id/eprint/83106/
_version_ 1778165928604729344
score 13.211869

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