更好地在一起:信息检索的跨学科视角

S. Dumais
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引用次数: 1

摘要

信息检索系统的成功关键取决于系统高效和有效检索信息的能力,以及支持人们阐明其信息需求和理解结果的能力。这种跨学科的、以用户为中心的信息系统视角激发了我早期对潜在语义索引(LSI)的研究,它试图减轻作者在写作中使用的词汇和搜索者用来表达他们的信息需求之间的分歧,并继续塑造我今天的研究。在过去的二十年里,搜索已经成为人们日常生活的核心组成部分,这是在理解上下文、自然语言和语音的进步的推动下实现的。我将说明电子邮件和虚拟助手的新功能是如何由算法和用户建模的进步驱动的。当我们期待新型信息系统能够预测信息需求,通过更丰富的对话进行交互,并整合物理和数字信息时,使用跨学科的方法和观点来理解和支持信息寻求者比以往任何时候都更加重要。
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Better Together: An Interdisciplinary Perspective on Information Retrieval
The success of information retrieval systems depends critically on both the ability of systems to efficiently and effectively retrieve information, and to support people in articulating their information needs and making sense of the results. This interdisciplinary, user-centered perspective on information systems motivated my early work on Latent Semantic Indexing (LSI), which sought to mitigate the disagreement between the vocabulary that authors use in writing and searchers use to express their information needs, and continues to shape my research today. Over the last two decades, search has become a core fabric of people's everyday lives, driven by advances in understanding context, natural language, and speech. I will illustrate how new capabilities in email and virtual assistants are driven by advances in both algorithms and user modeling. As we look forward to new types of information systems that anticipate information needs, interact via richer dialogs, and integrate physical and digital information, it is more important than ever to understand and support information seekers using interdisciplinary methods and perspectives.
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