The application relates to an intelligent content
processing system based on a
large model and a
semantic vector, which comprises a user content preprocessing module, a user content search
service module, a user content access
processing module, a user content recommendation module, a user comment, opinion and dynamic classification and statistics module of a scroll bar and a user sensitive word and
sentence analysis module and the like. The application also relates to a
processing method. The intelligent content processing
system based on the
large model and the
semantic vector and the method thereof adopt the application, automatically extract the abstract, the main body and the theme of the content through the
large model, generate the
semantic vector, combine the traditional
inverted index to build a
hybrid retrieval service and realize the deep fusion of keyword matching and semantic understanding. Meanwhile, the interest model is dynamically constructed based on the user behavior, various strategies are fused to realize accurate personalized recommendation, a double-layer mechanism of DFA rule and semantic vector matching is adopted for intelligent content auditing and classification, and the intelligent level, the accuracy and the
system efficiency of the content processing are significantly improved.