TY  - CONF
AV  - none
N1  - 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
N2  - 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.
KW  - Internet of things; Mobile computing
KW  -  Best value; Development process; Hybrid filtering; Mobile applications; Mobile data
KW  -  Recommender systems
TI  - Mobile application recommendation system for mobile data plan research in progress
ID  - scholars15014
Y1  - 2021///
SN  - 9781665440677
PB  - Institute of Electrical and Electronics Engineers Inc.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106712298&doi=10.1109%2fIEMTRONICS52119.2021.9422550&partnerID=40&md5=50b846af9b7890aaadc3203208d06123
A1  - Mohamed Ariff, M.I.
A1  - Salleh, K.A.
A1  - Mat Yaqin Fadzil, N.A.
A1  - Wahab, J.A.
A1  - Arshad, N.I.
A1  - Azmi, A.Z.
ER  -