Research on Economic Risk Analysis Method Based on Collaborative Filtering Recommendation Algorithm

To analyze the economic risks in daily life, this paper fully considers the retail economic problems, such as commodity browsing, commodity classification, commodity purchase, personal center, etc., establishes an economic risk analysis model based on a collaborative filtering algorithm, finds targeted related risks through the analysis of personalized risks, and timely solves the economic risks in daily life. The experiments show that the method proposed in this study can effectively solve the problem of economic risk, and has good practical applicability.