Expertise Retrieval

IF 8.3 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Foundations and Trends in Information Retrieval Pub Date : 2012-08-12 DOI:10.1561/1500000024

K. Balog, Yi Fang, M. de Rijke, P. Serdyukov, Luo Si

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引用次数: 227

Abstract

People have looked for experts since before the advent of computers. With advances in information retrieval technology and the large-scale availability of digital traces of knowledge-related activities, computer systems that can fully automate the process of locating expertise have become a reality. The past decade has witnessed tremendous interest, and a wealth of results, in expertise retrieval as an emerging subdiscipline in information retrieval. This survey highlights advances in models and algorithms relevant to this field. We draw connections among methods proposed in the literature and summarize them in five groups of basic approaches. These serve as the building blocks for more advanced models that arise when we consider a range of content-based factors that may impact the strength of association between a topic and a person. We also discuss practical aspects of building an expert search system and present applications of the technology in other domains, such as blog distillation and entity retrieval. The limitations of current approaches are also pointed out. We end our survey with a set of conjectures on what the future may hold for expertise retrieval research.

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专业知识检索

在计算机出现之前，人们就一直在寻找专家。随着信息检索技术的进步和知识相关活动的数字痕迹的大规模可用性，能够完全自动化定位专业知识过程的计算机系统已经成为现实。在过去的十年中，专家知识检索作为信息检索领域的一个新兴分支学科得到了极大的关注和大量的成果。这项调查突出了与该领域相关的模型和算法的进展。我们在文献中提出的方法之间建立联系，并将其归纳为五组基本方法。当我们考虑一系列可能影响主题和人之间关联强度的基于内容的因素时，这些模型将成为更高级模型的构建块。我们还讨论了建立专家搜索系统的实际方面，以及该技术在其他领域的应用，如博客蒸馏和实体检索。同时指出了现有方法的局限性。我们以一组关于专业知识检索研究的未来的猜想来结束我们的调查。

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 COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

39.10

自引率

0.00%

发文量

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.