Research on information interaction intervention and collaborative classification model construction in artificial intelligence environment

With the acceleration of urbanization in China, the living standard of urban residents has been improved, and the amount of domestic waste produced has been increasing year by year. The problem of urban domestic waste has become an urgent environmental problem to be solved in China, and the residents’ garbage classification habits and awareness are the decisive factors to solve the current predicament of garbage siege and reduce environmental pollution, while with the rapid development of artificial intelligence technology, it brings convenience to the classification of domestic garbage. Therefore, this paper analyzes the impact of technology on the classification habits of household garbage from the perspective of artificial intelligence environment, and constructs an information interaction intervention and collaborative classification model. Finally, through the simulation experiment to analyze the influence of the model on the formation and stability of residents’ garbage classification behavior habits, the research results show that high response validity is conducive to the formation and stability of residents’ garbage classification behavior habits, and low response validity has a slow convergence rate on the impact of behavior habits.