To address the current low performance and efficiency of some digital library information retrieval systems,a library information retrieval system model with better overall retrieval performance is construc-ted.This model is a digital library information retrieval system model based on artificial intelligence technol-ogy,which combines Bayesian theory and random forest algorithm.Compared with the existing retrieval sys-tem models,this model can achieve higher retrieval accuracy,precision ratio,recall ratio,and further shorten retrieval time.The efficiency of its retrieval performance has been verified in digital library informa-tion retrieval systems.
维普
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