基于推荐算法的图书馆管理系统的设计与实现

河北金融学院学士学位论文ABSTRACTWith the rapid development of Internet technology,the demand for librarymanagement systems is further increasing.As there are more and more types of books,theircorresponding business data are constantly improving,making the amount of book datainformation in the library far beyond the level of manual management.In order to furtherprovide more convenient services to readers,personalized customization can be providedaccording to the actual needs of readers.However,most of the current library systemscannot meet the personalized customized services of users.At present,most colleges and universities contain a large amount of book borrowinginformation.How to use this information to facilitate the borrowing process of readers andpredict the borrowing needs of readers,and then recommend the book information thatmeets the needs of readers is a problem worthy of research.Therefore,the main work of thisthesis is to design a library management and recommendation system at the School ofInformation Engineering and Computer,Hebei University of Finance.This system uses Javaas the development language,JSP as the development framework,SSM as the systemarchitecture,and MySQL as the system database.At the same time,in order to enable usersto have a more personalized experience,the system uses the K-means algorithm to classifyusers.And provide users with different book recommendations.In order to achieve theeffect of thousands of people in the library management system.The system researched in this subject proposes solutions to the practical problemsencountered by the library at present,and helps the campus to manage the library moreconveniently,and its utilization space is larger.The book management system combinedwith big data technology can provide personalized services according to the borrowing2