信息检索中查询自动补全的研究

IF 8.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Fei Cai, M. de Rijke
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引用次数: 152

摘要

在信息检索中,查询自动完成(QAC),也称为提前输入和自动完成建议,指的是以下功能:给定一个由多个字符组成的前缀,输入到搜索框中,用户界面提出将该前缀扩展为完整查询的替代方法。当用户心中有一个意图,但在查询中没有明确的表达方式时,QAC可以帮助他们制定查询。这有助于避免可能的拼写错误,尤其是在小屏幕设备上。它节省了用户的击键次数,缩短了用户的搜索时间,从而降低了搜索引擎的负载,从而节省了机器资源和维护费用。由于QAC的明显好处,在过去几年中,已经提出了相当多的QAC算法方法。查询日志已被证明是大多数最新研究的关键资产。这本专著概述了这项研究。它着重于总结关于QAC的文献,并提供对当前可用的丰富的QAC方法的一般理解。《信息检索中的查询自动补全研究》是研究这一课题的理想参考。它的贡献可以概括如下:它为在信息检索领域从事查询自动完成或相关问题的研究人员提供了对最先进的QAC方法的良好概述和分析。特别是,对于新进入该领域的研究人员来说,该调查可以作为最新技术的介绍。通过对现有解决方案进行分类,本文还提供了对QAC方法的全面了解。此外,它还提供了不同条件下的QAC解决方案,例如可用的高分辨率查询日志、使用眼动跟踪与QAC进行深入的用户交互以及在QAC过程中详细的用户参与。并讨论了与质量保证有关的实际问题。最后,详细讨论了QAC的核心挑战和有希望的开放方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey of Query Auto Completion in Information Retrieval
In information retrieval, query auto completion (QAC), also known as type-ahead and auto-complete suggestion, refers to the following functionality: given a prex consisting of a number of characters entered into a search box, the user interface proposes alternative ways of extending the prex to a full query. QAC helps users to formulate their query when they have an intent in mind but not a clear way of expressing this in a query. It helps to avoid possible spelling mistakes, especially on devices with small screens. It saves keystrokes and cuts down the search duration of users which implies a lower load on the search engine, and results in savings in machine resources and maintenance. Because of the clear benets of QAC, a considerable number of algorithmic approaches to QAC have been proposed in the past few years. Query logs have proven to be a key asset underlying most of the recent research. This monograph surveys this research. It focuses on summarizing the literature on QAC and provides a general understanding of the wealth of QAC approaches that are currently available. A Survey of Query Auto Completion in Information Retrieval is an ideal reference on the topic. Its contributions can be summarized as follows: It provides researchers who are working on query auto completion or related problems in the eld of information retrieval with a good overview and analysis of state-of-the-art QAC approaches. In particular, for researchers new to the eld, the survey can serve as an introduction to the state-of-the-art. It also offers a comprehensive perspective on QAC approaches by presenting a taxonomy of existing solutions. In addition, it presents solutions for QAC under different conditions such as available high-resolution query logs, in-depth user interactions with QAC using eye-tracking, and elaborate user engagements in a QAC process. It also discusses practical issues related to QAC. Lastly, it presents a detailed discussion of core challenges and promising open directions in QAC.
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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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