Abstract：Research on Intelligent Recommendation Technology of Digital Library Based on Access Information Mining This paper uses library information mining technology to analyze and mine usersvisiting comrade data and subscription information to discover usersinterestsand then provide targeted and personalized information resource services for users at differe Consulting ServiceProviding targeted and personalized information resource services to meet usersdifferent levels and preferencesRetrieval and IndexingUsing the IN FP recommendation algorithm for data mining to improve retrieval accuracyCollection ClassificationMay use data analysis results to optimize collection classificationbut this is not explicitly mentioned in the paperUsing data mining techniques to analyze and mine user access data and subscription information to discover user interests and provide targeted and personalized information resource services for users with different levels and preferencesAdditionallythe paper proposes a page interest-based IN FP recommendation algorithmusing association rules generated by minimum support and minimum confidenceThrough these data mining techniquesmore precise mining results can be obtainedproviding users with more valuable and meaningful recommendation services