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All Journal International Journal of Electrical and Computer Engineering
Shymaa Sobhy
Menoufia University
Computer Science & IT Electrical & Electronics Engineering

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Context-aware recommender system for multi-user smart home Shymaa Sobhy; Eman M. Mohamed; Arabi Keshk; Mahmoud Hussein
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i3.pp3192-3203

Abstract

Smart home is one of the most important applications of the internet of things (IoT). Smart home makes life simpler, easier to control, saves energy based on user’s behavior and interaction with the home appliances. Many existing approaches have designed a smart home system using data mining algorithms. However, these approaches do not consider multiusers that exist in the same location and time (which needs a complex control). They also use centralized mining algorithm, then the system’s efficiency is reduced when datasets increase. Therefore, in this paper, we firstly build a context-aware recommender system that considers multi-user’s preferences and solves their conflicts by using unsupervised algorithms to deliver useful recommendation services. Secondly, we improve smart home’s responsive using parallel computing. The results reveal that the proposed method is better than existing approaches.
Co-Authors Arabi Keshk Eman M. Mohamed Mahmoud Hussein