Research on the Impact and Mechanism of Artificial Intelligence on Consumption Upgrading

As the only way to comprehensively expand domestic demand, consumption upgrading gradually reflects the impact and mechanism of consumption upgrading with the development of artificial intelligence technology. The role of mechanism evaluation in consumption structure under artificial intelligence is very important, but there is a problem of inaccurate outcome evaluation. The traditional consumption model cannot solve the problem of evaluation of the mechanism of consumption structure under artificial intelligence, and the evaluation is unreasonable. Therefore, this paper proposes a data mining algorithm to evaluate and analyze the mechanism of optimization and innovation. Firstly, the relative income consumption theory is used to evaluate the consumer market, and the indicators are divided according to the requirements of the mechanism evaluation to reduce the interference factors in the evaluation of the mechanism. Then, the relative income consumption theory evaluates the mechanism of consumption upgrading level, forms a mechanism evaluation scheme, and comprehensively analyzes the evaluation results of the mechanism. MATLAB simulation shows that under certain evaluation criteria, the evaluation accuracy of the mechanism of data mining algorithms on the level of consumption upgrading and the quality of consumption structure transformation and upgrading are better than those of traditional consumption patterns.