%0 Conference Paper
%A Mohamed Ariff, M.I.
%A Salleh, K.A.
%A Mat Yaqin Fadzil, N.A.
%A Wahab, J.A.
%A Arshad, N.I.
%A Azmi, A.Z.
%D 2021
%F scholars:15014
%I Institute of Electrical and Electronics Engineers Inc.
%K Internet of things; Mobile computing, Best value; Development process; Hybrid filtering; Mobile applications; Mobile data, Recommender systems
%R 10.1109/IEMTRONICS52119.2021.9422550
%T Mobile application recommendation system for mobile data plan research in progress
%U https://khub.utp.edu.my/scholars/15014/
%X 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. © 2021 IEEE.
%Z cited By 1; Conference of 2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 ; Conference Date: 21 April 2021 Through 24 April 2021; Conference Code:168953