  We propose a novel conflict resolution framework for IoT services in
multi-resident smart homes. The proposed framework employs a preference
extraction model based on a temporal proximity strategy. We design a preference
aggregation model using a matrix factorization-based approach (i.e., singular
value decomposition). The concepts of current resident item matrix and ideal
resident item matrix are introduced as key criteria to cater to the conflict
resolution framework. Finally, a set of experiments on real-world datasets are
conducted to show the effectiveness of the proposed approach.
