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An Empirical Study on the Impact Mechanism of Big Data-based Precision Push Models on Consumers’ Online Buying Behavior in Southwest District of China

In the era of big data, consumers, as the main body of the economy, had been affected to a large extent by purchasing 
behavior. This impact would have mainly been reflected in the changes in consumer behavior, coupled with the development of the 
e-commerce industry in society. Consumers did change from traditional physical store purchases to online purchases as consumers’ 
online purchases increased. However, in the face of many commodities, it would be difficult for users to find items of interest. The 
precision push model came into being the user’s mathematical modeling based on the user’s behavior characteristics for searching 
the user’s possible feelings in items of interest to users. However, whether the matching of the precise push mode and the user 
interacted effectively, promoting and stimulating the consumption behavior of consumers would still face the problem of accuracy 
and efficiency.