User behavior feature processing methods, devices, equipment, and storage media

Abstract

This application relates to a method, apparatus, device, and storage medium for processing user behavior features. The method includes: acquiring business logs stored in a business database from different business systems; acquiring a user behavior profile data stream based on the business logs; and calculating the user behavior features of the user within a sliding time window based on the user behavior profile data stream. The solution provided by this application can fuse multi-source heterogeneous data in real time and generate dynamic behavior features reflecting short-term user behavior, providing high-quality data support for improving the accuracy of real-time risk control and real-time interception capabilities.

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