The research goal is to improve the AUC value and R2 value of the prediction results and reduce the average absolute error and propose a prediction method of e-commerce consumers' purchase intention in the era of social media. Firstly, linear transformation is performed on the historical purchasing data of consumers, and the importance of the data is determined through thresholds. Based on the judgment results, the data is dimensionally reduced. Secondly, the minimum hash algorithm is used to calculate the similarity between the dimensionality reduced data, and the fuzzy clustering decision me...
