Research On The Application Of Data Mining Technology In Personalized Recommendation Of Public Security College Library

At present, the University Library from both types of information resources or the number have already entered a new era. How to find the required resources from the mass of information accurately and efficiently is always the focus of attention of information science, and library resources as a set of knowledge facing a huge challenge. Library information increases sharply inevitably brought a lot of problems. First resource quality is uneven readers may spend a lot of time and energy to get the final garbage information, even if not garbage information may not be needed by readers valuable information. Second, colleges and universities as a collection of professional knowledge, the information needs of readers also in constant change, from the original individual simple borrow, query data for the development of more personalized needs. For example, readers want library to provide comprehensive professional second retrieval, with this at the same time, they are more likely to want professionals to advance the integration of some knowledge of professional field, in a certain extent help they draw some valuable knowledge unit. Obviously, the traditional working mode from either the speed or the accuracy of query could not meet the personalized needs of readers. Therefore, the innovation and development of library personalized service will be the inevitable trend of the future development of University library.The library management information system in the accumulation of large amounts of data resources as a data source, including circulation log, readers information, book information and browsing behavior, web information retrieval, bibliographic retrieval records, the analysis of data mining clustering analysis and association rules mining interests of readers recommended, also can be provided for the management of purchasing books and configuration collection of scientific basis.