A Study of the Use of Mathematical Models in a Blind Box Economy

Abstract

Since 2016, blind boxes have been loved by consumers, and the blind box economy has exploded. However, the blind box economy is closely linked with mathematical models. The mathematical models could be research predictions of profit and loss in blind boxes. Such functions as the loss function can assess the purchase probability of the blind box as well as how to avoid massive losses. Neural networks and Linear regression can predict the price changes of the blind box. Besides, we can predict and analyze the psychological and behavioral motivations of consumers. Therefore, the passage through literature reading and specific data analysis methods focuses on the mathematical models such as Loss function , Neural network and Linear regression that are applied in the blind box now. And the passage also describes the predictional model of profit and loss controdiction to avoid consumers consuming excessively a pig in a poke. At present, Linear regression can analysis and calculate investment with the blind box, but it should consider a lot of factors that can cause errors. Neural network can predict price changes, and it needs a large amount of data to support the model. Loss function can be used to predict the profit and loss of a blind box, but it also needs a large amount of data to prove its accuracy.