In recent years, Internet finance has become a trend in the future development of the financial industry due to its high efficiency and high coverage. The integration of green finance and the Internet makes resource allocation more reasonable and solves some difficulties in the development of green finance, but at the same time it puts forward higher requirements for the business models. As one of the main products of "Internet + Green Finance" practice, Ant Forest fully demonstrates the innovation of the business model derived from "Internet + Green Finance". This study explores the feasibility of this business model by analyzing the business model of ant forest from four aspects: customer value proposition, profit model, key resources and key processes, and then provides a reference for the innovation of other business models under "Internet + Green Finance".
Trading failure is the main reason for a dispute of C2C e-commerce. So predict the behavior of transactions can assist buyers and sellers negotiated transactions, helps to reduce transaction disputes. Separate the success and failure purchase record, then establish decision-making model through the C5.0 decision tree and RFM(Recency, Frequency, Monetary) model on consumer purchase behavior data, quantify the importance of the decision variables, the demonstration experiment shows the prediction accuracy is more than 80%.
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