Telco data plan recommendation system / Nor Ainol Yaqin Mohd Fadzil
The purpose that this recommendation system serves is to give data plan recommendation based on the user needs. Users need to find data plan features that meets their need and rate the data plan. Then, the system will give the recommendation based on the data plan that the user rated. This system de...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/58921/2/58921.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-uitm-ir.58921 |
---|---|
record_format |
uketd_dc |
spelling |
my-uitm-ir.589212022-08-18T02:47:21Z Telco data plan recommendation system / Nor Ainol Yaqin Mohd Fadzil 2022 Mohd Fadzil, Nor Ainol Yaqin Electronic Computers. Computer Science Mobile computing Client/server computing The purpose that this recommendation system serves is to give data plan recommendation based on the user needs. Users need to find data plan features that meets their need and rate the data plan. Then, the system will give the recommendation based on the data plan that the user rated. This system developed by use the collaborative filtering method by combine user-based filtering and item-based filtering method. The similarity of data plan will be calculated using the recommendation engine and will be compared with another user. Then, the output will show the list of data plan that have the highest similarity. This recommendation system developed as web application. This system help user to save their time to find the suitable data plan for them. The software used to develop this system is XamppServer, phpMyAdmin, and Sublime Text. 2022 Thesis https://ir.uitm.edu.my/id/eprint/58921/ https://ir.uitm.edu.my/id/eprint/58921/2/58921.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Mohamed Ariff, Mohamed Imran |
institution |
Universiti Teknologi MARA |
collection |
UiTM Institutional Repository |
language |
English |
advisor |
Mohamed Ariff, Mohamed Imran |
topic |
Electronic Computers Computer Science Mobile computing Client/server computing |
spellingShingle |
Electronic Computers Computer Science Mobile computing Client/server computing Mohd Fadzil, Nor Ainol Yaqin Telco data plan recommendation system / Nor Ainol Yaqin Mohd Fadzil |
description |
The purpose that this recommendation system serves is to give data plan recommendation based on the user needs. Users need to find data plan features that meets their need and rate the data plan. Then, the system will give the recommendation based on the data plan that the user rated. This system developed by use the collaborative filtering method by combine user-based filtering and item-based filtering method. The similarity of data plan will be calculated using the recommendation engine and will be compared with another user. Then, the output will show the list of data plan that have the highest similarity. This recommendation system developed as web application. This system help user to save their time to find the suitable data plan for them. The software used to develop this system is XamppServer, phpMyAdmin, and Sublime Text. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Mohd Fadzil, Nor Ainol Yaqin |
author_facet |
Mohd Fadzil, Nor Ainol Yaqin |
author_sort |
Mohd Fadzil, Nor Ainol Yaqin |
title |
Telco data plan recommendation system / Nor Ainol Yaqin Mohd Fadzil |
title_short |
Telco data plan recommendation system / Nor Ainol Yaqin Mohd Fadzil |
title_full |
Telco data plan recommendation system / Nor Ainol Yaqin Mohd Fadzil |
title_fullStr |
Telco data plan recommendation system / Nor Ainol Yaqin Mohd Fadzil |
title_full_unstemmed |
Telco data plan recommendation system / Nor Ainol Yaqin Mohd Fadzil |
title_sort |
telco data plan recommendation system / nor ainol yaqin mohd fadzil |
granting_institution |
Universiti Teknologi MARA, Perak |
granting_department |
Faculty of Computer and Mathematical Sciences |
publishDate |
2022 |
url |
https://ir.uitm.edu.my/id/eprint/58921/2/58921.pdf |
_version_ |
1783735007376834560 |