A Framework Analysis of Personalized Recommendation System with Media Tags

On the basis of the research on the recommendation of media information resources based on tags, this paper uses the theories of system dynamics and data mining, to study the formation mechanism and influencing factors of recommendation system of media information resources, and to construct the system dynamics model of dynamic media recommendation system based on tags. Moreover, Vensim PLE software is used to simulate and test the model, which further gives insights about how user's adoption situation, density and centrality affect the media recommendation system.