Research on personalized recommendation system of media tags based on system dynamics

This paper focuses on the research of personalized recommendation with media information resources based on tags. Especially, the paper uses the system dynamics and data mining theories to study the influencing factors of recommendation system based on media information resources. The goal of this paper is to construct the system dynamics model of dynamic media recommendation system based on tags. The Moreover, test model is built in the software of Vensim PLE and the simulation results illustrate how user's resources such as adoption situation, density and centrality can affect the media recommendation system.