In order to realize the response demand of emergency industry interconnection subjects to scenario data under the scenario of public health emergencies,the knowledge graph of urban public health emergency scenarios under the industry in-terconnection was constructed through the analysis of scenario elements,and the correlation relationship between emergency industry interconnection subjects and the epidemic scenario data was clarified.On this basis,the improved algorithm of joint semantic relevance and personalized PageRank was proposed to provide the emergency enterprise preference recommendation of scenario data,and finally the feasibility of the improved algorithm was verified with the example of COVID-19 pandemic in Wuhan.The results show that the joint semantic association optimized node PPR'is more recommendable compared to the initial PPR,and the formed data recommendation set is more in line with the data recommendation service in epidemic scenar-ios.The research results can provide a reference for the emergency response and decision-making based on data intelligent recommendation under the scenarios of public health emergencies.
industry interconnectionurban emergency scenariopublic health emergency scenariointelligent recommenda-tionhybrid collaborative filtering
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