摘要
随着师生对知识获取效率和服务体验要求的不断提高,亟需构建一套融合个性化推荐功能的智慧图书管理系统,以数据驱动实现资源的精准匹配,解决传统服务中存在的检索效率低、资源利用率不足等问题。基于此,文章以医学类高职院校为背景,设计并开发了基于Django框架的图书推荐系统,通过分析师生的图书阅览行为,提供个性化、高效且精准的智能推荐服务,从而进一步提升图书馆的服务质量与运行效率。
With the continuous improvement of knowledge acquisition efficiency and service experience requirements by teachers and students,it is urgent to build a smart book management system that integrates personalized recommendation functions,and uses data-driven methods to achieve accurate resource matching,solving problems such as low retrieval efficiency and insufficient resource utilization in traditional services.Based on this,the article takes medical vocational colleges as the background and designs and develops a book recommendation system based on the Django framework.By analyzing the book reading behavior of teachers and students,it provides personalized,efficient,and accurate intelligent recommendation services,thereby further improving the service quality and operational efficiency of the library.
作者
黄庆坤
刘一蓉
李美霞
HUANG Qingkun;LIU Yirong;LI Meixia(Dali Nursing Vocational College,Dali,Yunnan 671000,China)
基金
大理护理职业学院课题项目(Dhzyxj2022020)。
