Overview of potential customer prediction for products based on machine learning

With the development of the Internet, e-commerce, as a new way of online shopping, has provided great convenience to people's lives. Due to the complex potential relationship between consumers and products, it is difficult to recommend products according to consumers' needs, which increases the difficulty of online shopping. Therefore, how to predict the potential consumers of commodities has attracted the wide attention of researchers. Fortunately, machine learning-based approaches have made text and images that can model complex underlying relationships between data. Therefore, researchers have introduced machine learning into the product potential consumer prediction field and achieved good results. This paper first introduces the relevant data set and the product potential users' forecast evaluation index. Then, it summarizes the relevant product potential consumer prediction methods based on machine learning. Finally, the paper summarizes the whole article and looks forward to future research methods.