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DimensionsMohamed 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.
Full text not available from this repository.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.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | 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 |
| Uncontrolled Keywords: | Internet of things; Mobile computing, Best value; Development process; Hybrid filtering; Mobile applications; Mobile data, Recommender systems |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 10 Nov 2023 03:29 |
| Last Modified: | 10 Nov 2023 03:29 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/15014 |
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