Iot Service Recommendation Strategy Based On Attribute Relevance

In this article, we research on the service recommendation strategy in the IoT. The user attribute similarity and the attribute correlation of user and device service are computed, and the recommendation system is recommended based on the calculation results. In order to solve the cold start problem, we propose the tensor linear regression model. The experiment results show the recommendation strategy was effective.