Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail

Malaysia is popular with various types of dishes. There are a lot of dishes such as Malays, Chinese and Indian cuisines. Recipe is one of important medium in order to make the dishes. Nowadays, people are referring recipes on website, Facebook or asking other people. However, there are a few problem...

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Main Author:	Ismail, Nur Nazihah
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2017
Subjects:	Electronic computers. Computer science Algorithms
Online Access:	http://ir.uitm.edu.my/id/eprint/21376/ http://ir.uitm.edu.my/id/eprint/21376/1/TD_NUR%20NAZIHAH%20ISMAIL%20M%20CS%2017_5.pdf

id	uitm-21376
recordtype	eprints
spelling	uitm-213762018-10-25T01:37:19Z http://ir.uitm.edu.my/id/eprint/21376/ Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail Ismail, Nur Nazihah Electronic computers. Computer science Algorithms Malaysia is popular with various types of dishes. There are a lot of dishes such as Malays, Chinese and Indian cuisines. Recipe is one of important medium in order to make the dishes. Nowadays, people are referring recipes on website, Facebook or asking other people. However, there are a few problems exists by using current system such as it is does not match with the available ingredients that user have. People need suggestion to help them in order to find recipes that suits with their preferences. Hence, recommendation system for food recipes preparation has been proposed to help people to find recipes. This recommendation system will help people by suggesting recipes that follow user preferences. Besides, there are various techniques that able to be implemented in recommendation system. For this recommendation system, Genetic Algorithm (GA) is used as a technique to find the optimal results. GA is an evolutionary technique. In addition, GA able to handle multiple solution searches and solve problems, more straightforward and more flexible because it is easier to transferred in any platform. This system met all of the objectives which are successfully recommends recipe based on ingredients, equipment and time for cooking. Besides, this system also successfully developed by using Genetic Algorithm technique and lastly, all the system function well. As a result, this system suggests recipes that match with user preferences since there are too many criterions that need to match with user wants. Lastly, this algorithm obtains convergence result and met the optimal solution. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/21376/1/TD_NUR%20NAZIHAH%20ISMAIL%20M%20CS%2017_5.pdf Ismail, Nur Nazihah (2017) Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Electronic computers. Computer science Algorithms
spellingShingle	Electronic computers. Computer science Algorithms Ismail, Nur Nazihah Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail
description	Malaysia is popular with various types of dishes. There are a lot of dishes such as Malays, Chinese and Indian cuisines. Recipe is one of important medium in order to make the dishes. Nowadays, people are referring recipes on website, Facebook or asking other people. However, there are a few problems exists by using current system such as it is does not match with the available ingredients that user have. People need suggestion to help them in order to find recipes that suits with their preferences. Hence, recommendation system for food recipes preparation has been proposed to help people to find recipes. This recommendation system will help people by suggesting recipes that follow user preferences. Besides, there are various techniques that able to be implemented in recommendation system. For this recommendation system, Genetic Algorithm (GA) is used as a technique to find the optimal results. GA is an evolutionary technique. In addition, GA able to handle multiple solution searches and solve problems, more straightforward and more flexible because it is easier to transferred in any platform. This system met all of the objectives which are successfully recommends recipe based on ingredients, equipment and time for cooking. Besides, this system also successfully developed by using Genetic Algorithm technique and lastly, all the system function well. As a result, this system suggests recipes that match with user preferences since there are too many criterions that need to match with user wants. Lastly, this algorithm obtains convergence result and met the optimal solution.
format	Student Project
author	Ismail, Nur Nazihah
author_facet	Ismail, Nur Nazihah
author_sort	Ismail, Nur Nazihah
title	Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail
title_short	Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail
title_full	Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail
title_fullStr	Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail
title_full_unstemmed	Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail
title_sort	malay cuisine cooking recipe recommendation system using genetic algorithm (ga) / nur nazihah ismail
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/21376/ http://ir.uitm.edu.my/id/eprint/21376/1/TD_NUR%20NAZIHAH%20ISMAIL%20M%20CS%2017_5.pdf
first_indexed	2023-09-18T23:06:25Z
last_indexed	2023-09-18T23:06:25Z
_version_	1777418512908681216

Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail

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