eprintid: 15014 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/01/50/14 datestamp: 2023-11-10 03:29:36 lastmod: 2023-11-10 03:29:36 status_changed: 2023-11-10 01:58:25 type: conference_item metadata_visibility: show creators_name: Mohamed Ariff, M.I. creators_name: Salleh, K.A. creators_name: Mat Yaqin Fadzil, N.A. creators_name: Wahab, J.A. creators_name: Arshad, N.I. creators_name: Azmi, A.Z. title: Mobile application recommendation system for mobile data plan research in progress ispublished: pub keywords: Internet of things; Mobile computing, Best value; Development process; Hybrid filtering; Mobile applications; Mobile data, Recommender systems note: 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 abstract: 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. date: 2021 publisher: Institute of Electrical and Electronics Engineers Inc. official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106712298&doi=10.1109%2fIEMTRONICS52119.2021.9422550&partnerID=40&md5=50b846af9b7890aaadc3203208d06123 id_number: 10.1109/IEMTRONICS52119.2021.9422550 full_text_status: none publication: 2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings refereed: TRUE isbn: 9781665440677 citation: Mohamed Ariff, M.I. and Salleh, K.A. and Mat Yaqin Fadzil, N.A. and Wahab, J.A. and Arshad, N.I. and Azmi, A.Z. (2021) Mobile application recommendation system for mobile data plan research in progress. In: UNSPECIFIED.