Design Of The Library Individualized Information Service System

Through the analysis of data in the database. and found the hidden relationships and patterns. to predict possible future behavior. so as to provide favorable support for management decisions. Data mining technology allows library to develop personalized information services possible.This paper outlines the research background and significance. followed by the introduction of personalized information services. library-related theory and data mining tools commonly used algorithms and commonly used. the last of the personalized information service system for the overall design. and implementation When the key technology in detail.The main contents of this paper and key technologies are as follows:1) SSH frame is based on the data layer, mining layer, business layer and user layer hierarchical model of four personalized information service system on the overall architecture design. design a system of data collection. data mining. personalized service of three functional modules and specifically including the main function of the svstem to borrow my books. my favorite books. librarv resources search. the latest book recommendation. friend recommendation. virtual reference.2) The system design and implementation of the key technologies needed to use: SSH framework of the integration of technology. Weka data mining software. K-MEANS clustering algorithm was analyzed.3) Construction of readers interested in based on data mining models and readers interested in self-built model of the reader are two ways to build such a personal interest in the reader model. and gives a concrete algorithm.4) The use of integrated development environment to integrate SSH configured to Weka data mining as a tool. based on K-MEANS clustering algorithm to achieve the reader interested in building a model to understand the individual needs of the reader to complete the book recommendation feature. which implements a university library Museum of personalized information service system.