Security propaganda and education recommendation method and system based on demand portrait and content label

The invention provides a security propaganda and education recommendation method and system based on demand portraits and content tags, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining user behavior attribute data, dynamically modeling user multi-dimensional features through an adaptive incremental learning algorithm, and generating user multi-dimensional portraits. Performing real-time attenuation updating on the weight corresponding to the dimension through a time attenuation model based on a knowledge forgetting curve, and generating a dynamically adaptive user portrait; the method comprises the following steps: performing multi-level semantic analysis on heterogeneous contents to generate an initial multi-granularity content tag, performing optimization expansion on the initial multi-granularity content tag through an ontology construction technology to obtain a comprehensive multi-granularity content tag, mining time sequence semantic evolution