| The school library is the information center and research center of the school, and an access to learning resources for students. With the development of the information of society, the number and size of the books is becoming larger than ever before. It is necessary to manage their own books using need some easy and effective ways for whether personal or library's manager. Today, it is urgent need of a system for readers to tap the readers'interest, and to push readers the recommended book information, so that helping readers to find good books.Therefore, the author analyzes the detail of the development of IT of library, investigates the needs analysis of the book's personalized recommendation system of the Library of the Shandong Business Institute in detail, and makes the outline system design and the detailed design through the opportunity of this graduation project.In this paper, an overview of the system main issues which should be resolved are described, the main technology used and the main contribution has a brief introduction. At the design of the system, the Unified Modeling Language (UML) is used for the analysis and design. Combined with sophisticated enterprise-class platform J2EE and Mysql lightweight design, this paper implements a B/S structure of the personalized recommendation system of book library.The Library personalized recommendation system combines the pattern recognition classification, and the most popular social network of relationships (SNS) to provide users with personalized book recommendations, for example according to readers'preference, intelligently recommend related books, according to reading lists, analyses common interests of the readers.This paper analyzes, designs, implements a library book personalized recommendation system, providing users personalized book recommendations, online query, reader circle functions and so on, eventually build a lightweight, open, efficient, and practical library book personalized recommendation system. |
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