结合层次域信息消除极短查询歧义

Hamed Bonab, Mohammad Aliannejadi, John Foley, J. Allan
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引用次数: 3

摘要

用户经常使用长度只有一两个词的不完整或含糊的查询来表达他们的信息需求,特别是在Web环境中。摘要短查询的歧义性是信息检索系统中普遍存在的问题。在本研究中,我们研究了将层次领域信息纳入IR模型的各种方法,以便领域规范解决歧义。为此,我们开发了从现有语料库构建评估数据集的实用模型。在有效性方面,我们进一步研究了短查询与其域规范信息之间的权衡。在这样做的过程中,我们发现相关文档数量最多的领域并不总是最好的选择。我们还评估了领域层次结构的效用,发现将集合的层次结构合并到检索模型中可能对短查询消歧有很大的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incorporating Hierarchical Domain Information to Disambiguate Very Short Queries
Users often express their information needs using incomplete or ambiguous queries of only one or two terms in length, particularly in the Web environments. The ambiguity of short queries is a recognized problem for information retrieval (IR) systems. In this study, we investigate various approaches for incorporating hierarchical domain information into IR models such that the domain specification resolves the ambiguity. To this end, we develop practical models for constructing evaluation datasets from existing corpora. In terms of effectiveness, we further study the trade-off between a short query and its domain specification information. In doing so, we find that domains with the highest number of relevant documents are not always the best ones to select. We also evaluate the utility of a domain hierarchy and find that incorporating the hierarchical structure of a collection into the retrieval model could have a high impact on short query disambiguation.
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