Research on the Classification of E-Commerce Users Based on RFM Model and K-Means Algorithm

The report provides an overview of the dataset and the models and algorithms applied in the project. Initially, we present a comprehensive review of the RFM model and clustering algorithms. Utilizing the online transaction data from a British e-retail company, we compile the data, apply the RFM model to extract user segmentation information, devise K-means algorithms, and ultimately leverage user behavior to efficiently meet user demands. This approach facilitates precise user targeting, minimizes marketing expenses, and maximizes overall returns.