Conversational Information Seeking

IF 8.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski
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引用次数: 49

Abstract

Conversational information seeking (CIS) is concerned with a sequence of interactions between one or more users and an information system. Interactions in CIS are primarily based on natural language dialogue, while they may include other types of interactions, such as click, touch, and body gestures. This monograph provides a thorough overview of CIS definitions, applications, interactions, interfaces, design, implementation, and evaluation. This monograph views CIS applications as including conversational search, conversational question answering, and conversational recommendation. Our aim is to provide an overview of past research related to CIS, introduce the current state-of-the-art in CIS, highlight the challenges still being faced in the community, and suggest future directions.

会话信息搜索
会话信息搜索(CIS)关注的是一个或多个用户与信息系统之间的一系列交互。CIS中的交互主要基于自然语言对话,同时它们可能包括其他类型的交互,例如点击、触摸和身体手势。这本专著提供了CIS定义、应用程序、交互、接口、设计、实现和评估的全面概述。这本专著认为CIS的应用包括会话搜索、会话问答和会话推荐。我们的目的是概述过去与CIS相关的研究,介绍当前在CIS中的最新技术,强调社区仍然面临的挑战,并建议未来的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Foundations and Trends in Information Retrieval
Foundations and Trends in Information Retrieval COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
39.10
自引率
0.00%
发文量
3
期刊介绍: The surge in research across all domains in the past decade has resulted in a plethora of new publications, causing an exponential growth in published research. Navigating through this extensive literature and staying current has become a time-consuming challenge. While electronic publishing provides instant access to more articles than ever, discerning the essential ones for a comprehensive understanding of any topic remains an issue. To tackle this, Foundations and Trends® in Information Retrieval - FnTIR - addresses the problem by publishing high-quality survey and tutorial monographs in the field. Each issue of Foundations and Trends® in Information Retrieval - FnT IR features a 50-100 page monograph authored by research leaders, covering tutorial subjects, research retrospectives, and survey papers that provide state-of-the-art reviews within the scope of the journal.
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