Personalized Media Recommendation Algorithm Based On Smart Home

Consider the personalized recommendation problem of content-based recommendation technology (CB), a personalized media recommendation algorithm based on smart home (PMRSH) is proposed. Firstly, on the basis of smart home, context model is given. And according to user context, recommendation set R1 is got by content-based recommendation. Then, by adopting the Bayesian Decision Theory to evaluate media items matching the situation context, the final recommendation set R is got. The simulation illustrates the effectiveness of the algorithm.