来自多家在线出版商的数字图书馆的混合推系统模型
Pijitra Jomsri1, Dulyawit Prangchumpol1, Kittiya Poonsilp1
1Suan Sunandha Rajabhat University, Dusit, Bangkok, 10300, Thailand.
F1000Research
|January 20, 2025
概括
数字图书馆的新混合推系统,将80%的协作过和20%的基于内容的过相结合,大大提高了电子书推和整体效率.
科学领域:
- 数字图书馆 数字图书馆
- 推系统是一个推系统.
- 信息科学 信息科学 信息科学
背景情况:
- 对在线教育平台和数字图书馆系统的需求不断增长.
- 现有的数字图书馆缺乏跨不同机构的数据集成.
- 有限的连接性阻碍了全面的电子书访问和发现.
研究的目的:
- 为数字图书馆开发一个混合推系统.
- 整合来自多家出版商和机构的多种知识来源.
- 为了提高电子书推准确性和用户体验.
主要方法:
- 使用基于API的链接开发了一个原型数字图书馆系统.
- 来自教育,政府和宗教组织的集成电子书.
- 实施了混合推系统,结合了协作过 (CF) 和基于内容的过 (CB).
- 考虑的书籍类别,用户的阅读习惯和信息来源.
主要成果:
- 混合型 (50:50, 20:80, 80:20) 与CF和CB分数进行比较.
- 混合得分80:20模型实现了最高的平均正常化折扣累积收益 (NDCG) 得分.
- 通过用户反和比较分析评估系统性能.
结论:
- 混合推系统模型结合了80%的协作过和20%的基于内容的过,提高了推的效率.
- 与传统方法相比,这种方法提供了更高的推效率和整体性能.
- 开发的系统为用户增强了数字图书馆的功能.
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