Best food finder : your decision-maker

The application created is to provide users the ability to understand, determine and distinguish the importance of options and availability of food places within the selected area of interest. The application will recommend food locations based on a random selection, determined by a series of questi...

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Main Author: Yeo, Swee Kheng
Other Authors: Owen Noel Newton Fernando
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/76225
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-762252023-03-03T20:26:33Z Best food finder : your decision-maker Yeo, Swee Kheng Owen Noel Newton Fernando School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering The application created is to provide users the ability to understand, determine and distinguish the importance of options and availability of food places within the selected area of interest. The application will recommend food locations based on a random selection, determined by a series of questions or by the users’ personal choices. To study the user’s behaviour and choices of food, a series of questions will be used to obtain a general sensing of their preferences. These information are stored and will be used as an indicator for food choices when users are in a location with multiple food places. These places would be shown to the users as recommended food selections based on the information collected for specific users. To study the suitability of the food places recommended, the saved page will be monitored to determine if the users are showing interest in the suggestions. This will allow a better understand if the series of questions posed in the survey is a good indicator for food cuisines and recommendations. At the same time, the application will be able to receive reviews from users when they visited the recommended food places. Findings from this monitoring and review could be developed for targeting marketing in the future, by considering the rate of food places visited based on recommendations and providing promotions and discounts to encourage visits to the food places. Bachelor of Engineering (Computer Science) 2018-12-07T02:54:27Z 2018-12-07T02:54:27Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/76225 en Nanyang Technological University 71p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Yeo, Swee Kheng
Best food finder : your decision-maker
description The application created is to provide users the ability to understand, determine and distinguish the importance of options and availability of food places within the selected area of interest. The application will recommend food locations based on a random selection, determined by a series of questions or by the users’ personal choices. To study the user’s behaviour and choices of food, a series of questions will be used to obtain a general sensing of their preferences. These information are stored and will be used as an indicator for food choices when users are in a location with multiple food places. These places would be shown to the users as recommended food selections based on the information collected for specific users. To study the suitability of the food places recommended, the saved page will be monitored to determine if the users are showing interest in the suggestions. This will allow a better understand if the series of questions posed in the survey is a good indicator for food cuisines and recommendations. At the same time, the application will be able to receive reviews from users when they visited the recommended food places. Findings from this monitoring and review could be developed for targeting marketing in the future, by considering the rate of food places visited based on recommendations and providing promotions and discounts to encourage visits to the food places.
author2 Owen Noel Newton Fernando
author_facet Owen Noel Newton Fernando
Yeo, Swee Kheng
format Final Year Project
author Yeo, Swee Kheng
author_sort Yeo, Swee Kheng
title Best food finder : your decision-maker
title_short Best food finder : your decision-maker
title_full Best food finder : your decision-maker
title_fullStr Best food finder : your decision-maker
title_full_unstemmed Best food finder : your decision-maker
title_sort best food finder : your decision-maker
publishDate 2018
url http://hdl.handle.net/10356/76225
_version_ 1759857173258567680