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As the Internet retail industry continues to rise, more and more consumers choose to shop online, especially Chinese consumers. Using consumer behavior data left on the Internet to predict repurchase behavior is of great significance for companies to achieve precision marketing. This paper proposes an improved deep forest model, and the interactive behavior characteristics of users and goods are added into the original feature model to predict the repurchase behavior of e-commerce consumers.doi:10.1371/journal.pone.0255906 pmid:34543319 pmcid:PMC8452008 fatcat:y7rgx6fe4ba6fpctcweg24ms7q