基于Vue+Java的知行书海图书馆信息管理系统设计与实现 毕业论文+开题报告+论文图源文件+检测查重报告
摘要
本研究致力于开发一款先进的图书馆信息管理系统，旨在提升图书馆资源的管理效率和用户体验。知行书海图书馆信息管理系统基于深入的需求分析和先进的技术手段，集成了读者管理、自动化流程、智能预约、借还等多个功能模块，以满足不同用户群体的需求。在系统设计阶段，我们采用了分层架构和先进的前后端技术，确保系统具备高性能、稳定性和可扩展性。
系统的核心功能包括资源的编目与检索、自助借还服务、数据分析与可视化以及智能推荐系统。自助借还终端的引入减轻了图书馆工作人员的负担，同时提高了用户的借还效率。智能推荐系统通过分析用户的借阅历史和行为，为用户推荐个性化的图书和资源，提升了用户的阅读体验。
此外，系统也注重用户体验和界面友好性。通过读者意见反馈模块为图书馆管理员提供了洞察用户行为的过程，从而优化资源分配和服务策略。
关键词：图书馆、信息管理系统
Abstract
This study aims to develop an advanced library information management system, aiming to improve the management efficiency and user experience of library resources. The Zhixing Shuhai Library Information Management System is based on in-depth demand analysis and advanced technical means, integrating multiple functional modules such as reader management, automated processes, intelligent reservation, borrowing and returning, to meet the needs of different user groups. In the system design phase, we adopted a layered architecture and advanced front-end and back-end technologies to ensure that the system has high performance, stability, and scalability.
The core functions of the system include resource cataloging and retrieval, self-service borrowing and returning services, data analysis and visualization, and intelligent recommendation systems. The introduction of self-service borrowing and returning terminals has reduced the burden on library staff and improved the borrowing and returning efficiency of users. The intelligent recommendation system analyzes users' borrowing history and behavior, recommends personalized books and resources for users, and improves their reading experience.
In addition, the system also emphasizes user experience and user-friendly interface. The reader feedback module provides library administrators with insights into user behavior, thereby optimizing resource allocation and service strategies.
Keywords: Library, Information Management System
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