Personalized Reading Recommendations for Smart libraries in Sports Colleges Based on User Needs
According to the specific needs of users,a personalized reading recommendation system has been built and implemented around the smart library of sports college.Taking into account user behavior and deeply analyzes library resources,this article proposes a comprehensive recommendation strategy that integrates collaborative filter-ing,content filtering and Deep Learning technology to enhance user experience and improve resource utilization ef-ficiency.The experimental results show that after adopting this recommendation system,the user satisfaction has in-creased by more than 25%,and the utilization frequency of library resources has increased significantly.
万方数据
维普
