基于人工智能的图书推荐系统的研究与实践
Research and Practice of Book Recommendation System Based on Artificial Intelligence
刘爱菊1
作者信息
- 1. 河南检察职业学院 河南郑州 451191
- 折叠
摘要
致力于开发一款基于人工智能技术的图书推荐系统,旨在提升推荐的精准度和个性化水平.通过深入剖析人工智能原理、图书推荐系统框架与设计,以及算法的优化与选择,成功地构建了这一系统并完成了部署.实验结果显示,系统在推荐准确性和个性化方面均展现出优异性能.然而,也意识到研究中存在的不足,并期待未来能进一步拓展和完善.总体而言,这项研究为图书推荐系统的发展提供了有益的参考和启示.
Abstract
This paper is committed to developing a book recommendation system based on Artificial Intelligence(AI),aiming to improve the accuracy and personalized level of recommendation.Through the in-depth analysis of the principles of AI,the framework and design of book recommendation systems,as well as algorithm optimization and selection,the system has been successfully constructed and deployed.The experimental results show that the sys-tem shows excellent performance in both recommendation accuracy and personalization.However,we are also aware of the shortcomings in the research and look forward to further expansion and improvement in the future.Overall,this research provides useful references and insights for the development of book recommendation systems.
关键词
人工智能/图书推荐系统/架构设计/算法优化/系统实现部署Key words
Artificial Intelligence/Book recommendation system/Architecture design/Algorithm optimization/System implementation deployment引用本文复制引用
出版年
2024
NETL
NSTL
万方数据