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An important issue to be addressed in a smart home environment is how to provide appropriate services according to the preference of inhabitants. In this paper, we aim at developing a system to learn a multiple users' preference model that represents relationships among users as well as dependency between services and sensor observations. Thus, the service can be inferred based on the learnt model...
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