基于Django的图书推荐系统的设计与实现

Design and implementation of a book recommendation system based on Django

摘要

为帮助用户从海量图书资源中筛选出符合个人兴趣的图书,遵循软件工程学原理,设计并实现了一套基于Django的图书推荐系统.该系统采用B/S架构和“Django框架+MySQL数据库”开发模式,实现了客户端与管理端的各项功能,并引入ItemCF推荐算法,实现了图书个性化推荐功能.对系统功能、性能和安全性等方面的测试结果表明,该系统能够满足用户需求和期望,适用于图书馆、在线书店等多种应用场景,可为数字化阅读服务平台建设提供参考.

Abstract

To help users filter out books that match personal interests from a large number of book resources, a book recommendation system based on Django is designed and implemented in accordance with software engineering principles. The system adopts a B/S architecture and the development model of "Django framework + MySQL database", realizing various functions for both the client and management terminals. It also introduces the ItemCF recommendation algorithm to achieve personalized recommendation function of books. The test results on the system functions, performance, security and other aspects show that the system can meet users' needs and expectations, and is applicable to multiple scenarios such as libraries and online bookstores, which can provide reference for the construction of digital reading service platforms.

关键词

Django / 图书推荐系统 / 协同过滤算法 / 图书管理

Key words

Django / book recommendation system / collaborative filtering algorithm / book management

参考文献

[1] 郭鹤楠. 基于Django和Python技术的网站设计与实现[J]. 数字通信世界, 2023(6): 60-62.

[2] 翁小兰, 王志坚. 协同过滤推荐算法研究进展[J]. 计算机工程与应用, 2018, 54(1): 25-31.

[3] 孙晓娟, 千博, 王圣涛. 基于协同过滤算法的IT书籍推荐系统设计与实现[J]. 软件导刊, 2017, 16(4): 70-73.

[4] 王勇, 吕明久, 陈莉, 等. 基于RBAC模型的权限管理系统的设计与实现[J]. 江苏工程职业技术学院学报, 2024, 24(3): 15-20.

[5] 王莎莎. 一种融合混合协同过滤与CNN的图书推荐算法[J]. 信息技术与信息化, 2025(4): 52-55.