Restaurant recommendation system using particle swarm optimization / Wan Farah Syahirah Wan Ismail

Recommendation system plays an important role in today’s society. As the technology are moving forward people are keener on relying on the automated decision making. Nowadays there are various recommendation systems available all over the world, as the food industry is always expanding the restauran...

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Main Author:	Wan Ismail, Wan Farah Syahirah
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2017
Subjects:	Food industry and trade. Halal food industry. Certification Programming. Rule-based programming. Backtrack programming Expert systems (Computer science). Fuzzy expert systems
Online Access:	http://ir.uitm.edu.my/id/eprint/21382/ http://ir.uitm.edu.my/id/eprint/21382/1/TD_WAN%20FARAH%20SYAHIRAH%20BINTI%20WAN%20ISMAIL%20M%20CS%2017_5.pdf

id	uitm-21382
recordtype	eprints
spelling	uitm-213822018-10-25T03:50:42Z http://ir.uitm.edu.my/id/eprint/21382/ Restaurant recommendation system using particle swarm optimization / Wan Farah Syahirah Wan Ismail Wan Ismail, Wan Farah Syahirah Food industry and trade. Halal food industry. Certification Programming. Rule-based programming. Backtrack programming Expert systems (Computer science). Fuzzy expert systems Recommendation system plays an important role in today’s society. As the technology are moving forward people are keener on relying on the automated decision making. Nowadays there are various recommendation systems available all over the world, as the food industry is always expanding the restaurants business are booming as well. It is getting harder to find places to eat as more restaurants are opening making it hard to choose when there are too many options, it can also be time consuming and not all restaurants are properly advertised. This leads to consulting to systems for faster recommendation of places to eat according to user preferences in order to save time and reduce the hassle. Hence, this is why this project is proposed. This project helps people to find places to eat, save time, and at the same time suggesting restaurants according to their preferences. Particle Swarm Optimization is an evolutionary technique that imitates a flock of birds looking for food, it is incorporated in this proposed system as it proven to be good in optimizing. In order to find the most optimal solution, the population of swarm will follow best particle and improve its candidate solution until convergence is reached. From the result conducted from this project, it sure does well in optimizing the best optimal solution even in various situations given. Even so, there are few limitations exist in this project. PSO is very time consuming when executed and the difficulty of accessing it at all times as it is a web-based system. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/21382/1/TD_WAN%20FARAH%20SYAHIRAH%20BINTI%20WAN%20ISMAIL%20M%20CS%2017_5.pdf Wan Ismail, Wan Farah Syahirah (2017) Restaurant recommendation system using particle swarm optimization / Wan Farah Syahirah Wan 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	Food industry and trade. Halal food industry. Certification Programming. Rule-based programming. Backtrack programming Expert systems (Computer science). Fuzzy expert systems
spellingShingle	Food industry and trade. Halal food industry. Certification Programming. Rule-based programming. Backtrack programming Expert systems (Computer science). Fuzzy expert systems Wan Ismail, Wan Farah Syahirah Restaurant recommendation system using particle swarm optimization / Wan Farah Syahirah Wan Ismail
description	Recommendation system plays an important role in today’s society. As the technology are moving forward people are keener on relying on the automated decision making. Nowadays there are various recommendation systems available all over the world, as the food industry is always expanding the restaurants business are booming as well. It is getting harder to find places to eat as more restaurants are opening making it hard to choose when there are too many options, it can also be time consuming and not all restaurants are properly advertised. This leads to consulting to systems for faster recommendation of places to eat according to user preferences in order to save time and reduce the hassle. Hence, this is why this project is proposed. This project helps people to find places to eat, save time, and at the same time suggesting restaurants according to their preferences. Particle Swarm Optimization is an evolutionary technique that imitates a flock of birds looking for food, it is incorporated in this proposed system as it proven to be good in optimizing. In order to find the most optimal solution, the population of swarm will follow best particle and improve its candidate solution until convergence is reached. From the result conducted from this project, it sure does well in optimizing the best optimal solution even in various situations given. Even so, there are few limitations exist in this project. PSO is very time consuming when executed and the difficulty of accessing it at all times as it is a web-based system.
format	Student Project
author	Wan Ismail, Wan Farah Syahirah
author_facet	Wan Ismail, Wan Farah Syahirah
author_sort	Wan Ismail, Wan Farah Syahirah
title	Restaurant recommendation system using particle swarm optimization / Wan Farah Syahirah Wan Ismail
title_short	Restaurant recommendation system using particle swarm optimization / Wan Farah Syahirah Wan Ismail
title_full	Restaurant recommendation system using particle swarm optimization / Wan Farah Syahirah Wan Ismail
title_fullStr	Restaurant recommendation system using particle swarm optimization / Wan Farah Syahirah Wan Ismail
title_full_unstemmed	Restaurant recommendation system using particle swarm optimization / Wan Farah Syahirah Wan Ismail
title_sort	restaurant recommendation system using particle swarm optimization / wan farah syahirah wan ismail
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/21382/ http://ir.uitm.edu.my/id/eprint/21382/1/TD_WAN%20FARAH%20SYAHIRAH%20BINTI%20WAN%20ISMAIL%20M%20CS%2017_5.pdf
first_indexed	2023-09-18T23:06:26Z
last_indexed	2023-09-18T23:06:26Z
_version_	1777418513788436480

Restaurant recommendation system using particle swarm optimization / Wan Farah Syahirah Wan Ismail

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