Research and Application of Computer Internet Technology in Intelligent Financial Risk Monitoring System

At present, the daily transaction volume of major domestic banks is nearly 10 million, and the average daily transaction volume exceeds 100 billion yuan. A large amount of structured and unstructured transaction data is generated, which is difficult to manage effectively. How to formulate fast and effective financial risk control strategies, improve the efficiency of customer information data processing, and timely predict and prevent credit and fraud risks in the business has become an urgent problem for financial enterprises. The DOcean-based financial risk monitoring system relies on the DOcean system to efficiently manage massive amounts of data, while using content-based text similarity retrieval, image similarity retrieval based on color and image features, and key frame-based video similarity Retrieval and other technologies fully excavate the practical application of unstructured data in financial risk control.