Collaborative Filtering Algorithm Based Financial Data Analysis and Investment Decision Support Modeling

The article solves problems such as personalized investment, and then achieves the expected effect of investment decision-making.The article firstly designs an investment decision support model based on collaborative filtering, elaborates the implementation path to realize investment decision support from the perspective of machine learning, and then combines the user image technology to design the user image labeling system and model construction.Finally, the effectiveness and rationality of the proposed method in this paper are verified through experiments.Experiments on a corporate investment decision support task on a company's dataset reveal that the method proposed in this paper has good performance on all metrics, with the highest value of 0.6985 on AUC.This gives an indication of the effectiveness of the financial data analysis and investment decision support model proposed in this paper.