Mobile Application Recommendation System for Mobile Data Plan Research in progress
Mohamed Imran Mohamed Ariff, Khairulliza Ahmad Salleh, Nor Ainol Mat Yaqin Fadzil, Jufiza A. Wahab, Noreen Izza Arshad, Anis Zafirah Azmi · 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) · 2021
This paper presents a research in progress mobile application recommendation system for mobile data plan. With the vast amount of mobile data plan available, students must put a lot of effort in finding a mobile data plan that is the best value for money or the best for their heavy usage needs. Thus, paper proposes a recommendation system to aid students in the selection process of a mobile data plan. Further, hybrid filtering will be applied in the development process of this system to recommend a few suitable mobile data plans.