搜索结果多样化

IF 8.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Rodrygo L. T. Santos, C. Macdonald, I. Ounis
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引用次数: 85

摘要

信息检索中的排名传统上被认为是对相关信息的追求,假设用户的信息需求是通过他们提交的查询明确表达的。然而,作为对更复杂的信息需求的固有的有限表示,每个查询在某种程度上都可以被认为是模糊的。为了解决查询歧义,最近提出了搜索结果多样化方法来产生排序,旨在满足查询背后的多种可能的信息需求。在本调查中,我们回顾了已发表的关于搜索结果多样化的文献。特别地,我们讨论了歧义查询多样化搜索结果的动机,并提供了搜索结果多样化问题的正式定义。此外,我们描述了文献中最成功的方法,用于在多个搜索领域中产生和评估多样性。最后,讨论了搜索结果多样化领域的最新进展和开放的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Search Result Diversification
Ranking in information retrieval has been traditionally approachedas a pursuit of relevant information, under the assumption that theusers' information needs are unambiguously conveyed by their submittedqueries. Nevertheless, as an inherently limited representation of amore complex information need, every query can arguably be consideredambiguous to some extent. In order to tackle query ambiguity,search result diversification approaches have recently been proposed toproduce rankings aimed to satisfy the multiple possible informationneeds underlying a query. In this survey, we review the published literatureon search result diversification. In particular, we discuss themotivations for diversifying the search results for an ambiguous queryand provide a formal definition of the search result diversification problem.In addition, we describe the most successful approaches in theliterature for producing and evaluating diversity in multiple search domains.Finally, we also discuss recent advances as well as open researchdirections in the field of search result diversification.
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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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