Context-aware recommender system for multi-user smart home

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