D E S I G N A N D I M P L E M E N T A T I O N O F U N I V E R S I T Y L I B R A R Y S E R V I C E S Y S T E M

With the increasing number of electronic resources and library resources, the majority of teachers and students are facing enormous problems and challenges. It becomes time-consuming and laborious to find resources that correspond with interest from the vast collection of digital resources and library books. University Library Management Information System can alleviate this problem to some extent by providing readers with a search function. However, with the acceleration of social and information exchange, teachers’and students’reading scope are widened and the readers show a growing demand for personalization and diversification. Currently university library system has to make appropriate decisions to address this phenomenon and meet the needs of individual users by actively providing books recommendation services. Based on these above, in this thesis, we research university library personalized service system based on data mining techniques.In this thesis, we used SAS Enterpreise Miner to analyze the book inventory data and book lending data from university library. Through statistical analysis of the book inventory data, we obtained the numbers of library books distributed in different categories. Through the analysis of loan data, we found very different loan amounts and periods in different categories of books, and there is a very big difference in teachers’ and students’borrow preferences. Based on the interpretation of these information, we can provide useful rules knowledge for library management and support to provide better service for readers.In this thesis, through the demand analysis and detailed design of library personalized service system, we partitioned the system function into modules. This system consists of two main modules, i.e. the administrator module and the user module. Administrator module is mainly responsible for the procurement of books, cataloging, storage, distribution (borrow, return), the reader management, as well as reading room management. General user module includes browsing books, borrowing books and returning books etc. The system also includes a book recommendation function, we recommend books to readers by using collaborative filtering recommendation algorithm based on their historical information. At last, based on J2EE development framework and Struts2.0+Hibernate+Spring mode, we implement a library information management system on Tomcat+Oracle9i development platform. By testing the system, it is found that the system includes the basic library system functions and the business logic is correct. The system is easy to operate and maintenance and has a friendly interface and so on.