The Application Of Data Mining In Intelligent Recommendation Of University Library

Along with the fast process of IT, the information process in our country's university has also been greatly promoted. The library in university also accumulated a large amount of business data. Meanwhile, the needs of readers for the information are increasingly diverse. To provide services to the readers has become development trend of university library construction by using intelligent recommendation.Firstly, to review the data mining techniques and the theory of intelligent recommendation. To compare and analysis the current situation of intelligent recommendation service for domestic and international university library. Secondly, this paper is based on the integrated library system to design supporting intelligent recommendation system. To establish recommendation system model based on theoretical studies after finishing detailed requirements analysis and borrowing process analysis. The application of data mining techniques to the library in response to the development of intelligent recommended times, the passive to active service recommended type of service. Meanwhile make more rational allocation of resources to optimize the collection structure. Provide targeted to achieve stronger recommendation intelligent information services for different types of readers. The application of data mining techniques to the library in response to the development of intelligent recommended age. And make it from passive to active service recommended type of service. Make a more rational allocation of resources to optimize the collection structure. Provide targeted to achieve a stronger recommendation intelligent information services for different types of readers.In the specific research and analysis, to define the borrowing history of university library to be the specific data mining objects. To verify by applying cluster analysis, association rule mining and specific data mining models. This paper has researched specific implementation of data mining analysis in the system of intelligent recommendation in the university.