搜索仍然很重要:在生成性AI时代的信息检索
1Department of Medical Informatics & Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, OR 97239, United States.
Journal of the American Medical Informatics Association : JAMIA
|January 30, 2024
概括
生成型人工智能 (AI) 为信息检索 (IR) 提供了新的可能性,但学术用户仍然需要权威,及时和上下文化的搜索结果. 对改善传统搜索系统的持续研究仍然是必不可少的.
科学领域:
- 信息科学 信息科学 信息科学
- 人工智能的人工智能
- 计算机科学 计算机科学
背景情况:
- 信息检索 (IR) 系统是现代信息获取不可或缺的一部分.
- 生成型人工智能 (AI) 和大型语言模型 (LLM) 的快速发展为IR提供了新的范式.
研究的目的:
- 在IR过程中探索生成AI的整合.
- 检查在学术研究中使用人工智能的动机,考虑和结果.
主要方法:
- 这篇视角文章分析了生成AI在IR中的作用.
- 专注于人工智能辅助信息搜索的学术背景.
主要成果:
- 生成型人工智能可以潜在地增强IR过程的各个方面.
- 学术用户在搜索结果中优先考虑权威性,及时性和上下文化.
结论:
- 虽然LLM提供了新的功能,但它们并不能取代传统的搜索系统.
- 对IR系统的持续研究和开发对于满足用户需求至关重要.
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