arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1002.3238cs.IR
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Exploring a Multidimensional Representation of Documents and EQUIPMENT(扩展版)

Exploring a Multidimensional Representation of Documents and Queries (extended version)

Benjamin Piwowarski, Ingo Frommholz, Mounia Lalmas, Keith van Rijsbergen

摘要:

在信息检索(IR)中,无论是隐式还是显式,查询和文档通常表示为向量。然而,将文档和/或查询视为多维对象可能更有益。我们相信这将允许构建“真正的”交互式IR系统,即,其中互动是完全纳入IR框架。量子物理的概率形式主义将事件和密度表示为多维对象。本文介绍了我们的第一步,建立一个互动的IR框架后,这种形式主义,说明如何检索过程中的第一次互动,当用户类型的查询,可以正式化。我们的框架依赖于一些影响最终文档排序的参数。在本文中,我们通过实验研究这些参数的影响,表明所提出的表示文档和查询的多维对象可以与标准的方法竞争,与额外的前景被应用到交互式检索。

英文摘要:

In Information Retrieval (IR), whether implicitly or explicitly, queries and documents are often represented as vectors. However, it may be more beneficial to consider documents and/or queries as multidimensional objects. Our belief is this would allow building "truly" interactive IR systems, i.e., where interaction is fully incorporated in the IR framework. The probabilistic formalism of quantum physics represents events and densities as multidimensional objects. This paper presents our first step towards building an interactive IR framework upon this formalism, by stating how the first interaction of the retrieval process, when the user types a query, can be formalised. Our framework depends on a number of parameters affecting the final document ranking. In this paper we experimentally investigate the effect of these parameters, showing that the proposed representation of documents and queries as multidimensional objects can compete with standard approaches, with the additional prospect to be applied to interactive retrieval.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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