Abstract
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.
Metadata
Item Type: | Thesis (Degree) |
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Creators: | Creators Email / ID Num. Mohd Fadzil, Nor Ainol Yaqin 2018801726 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Mohamed Ariff, Mohamed Imran UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Mobile computing Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Client/server computing |
Divisions: | Universiti Teknologi MARA, Perak > Tapah Campus > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of Computer Science (Honours) |
Keywords: | Data plan; recommender system |
Date: | 2022 |
URI: | https://ir.uitm.edu.my/id/eprint/58921 |
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