@inproceedings{scholars15014,
           title = {Mobile application recommendation system for mobile data plan research in progress},
         journal = {2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
             doi = {10.1109/IEMTRONICS52119.2021.9422550},
            year = {2021},
            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},
            isbn = {9781665440677},
          author = {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.},
        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. {\^A}{\copyright} 2021 IEEE.},
        keywords = {Internet of things; Mobile computing, Best value; Development process; Hybrid filtering; Mobile applications; Mobile data, Recommender systems},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106712298&doi=10.1109\%2fIEMTRONICS52119.2021.9422550&partnerID=40&md5=50b846af9b7890aaadc3203208d06123}
}