Supporting polyrepresentation in a quantum-inspired geometrical retrieval framework

Supporting polyrepresentation in a quantum-inspired geometrical retrieval framework
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DOI:
10.1145/1840784.1840802
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发表时间:
2010-08
期刊:
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影响因子:
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通讯作者:
Ingo Frommholz;Birger Larsen;Benjamin Piwowarski;M. Lalmas;P. Ingwersen;C. J. Rijsbergen
Ingo Frommholz;Birger Larsen;Benjamin Piwowarski;M. Lalmas;P. Ingwersen;C. J. Rijsbergen
中科院分区:
其他
文献类型:
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作者:
Ingo Frommholz;Birger Larsen;Benjamin Piwowarski;M. Lalmas;P. Ingwersen;C. J. Rijsbergen

文献摘要

相似文献

文档的相关性有很多方面,超出了通常的主题方面,必须考虑这些方面以满足用户的信息需求。文档的多种表示形式,如用户给出的评论或实际文档内容,可以为相关性的某些方面提供证据。在这方面,文件的多重代表性,即这种证据的组合,是估计文件相关性的一个关键概念。在本文中,我们讨论了如何几何检索框架的启发量子力学可以扩展到支持polyrepresentation。我们通过例子展示了如何在希尔伯特空间中对文档的不同表示进行建模,类似于量子力学中已知的物理系统。我们进一步说明了如何结合这些表示的张量积,以支持polyrepresentation,并讨论的情况下,表示的文件是不独立的,从用户的角度来看。除了为多元表征提供一个原则性的框架外,这种方法的潜力是捕捉和正式化不同表征之间可能存在的复杂的相互依赖关系。
The relevance of a document has many facets, going beyond the usual topical one, which have to be considered to satisfy a user's information need. Multiple representations of documents, like user-given reviews or the actual document content, can give evidence towards certain facets of relevance. In this respect polyrepresentation of documents, where such evidence is combined, is a crucial concept to estimate the relevance of a document. In this paper, we discuss how a geometrical retrieval framework inspired by quantum mechanics can be extended to support polyrepresentation. We show by example how different representations of a document can be modelled in a Hilbert space, similar to physical systems known from quantum mechanics. We further illustrate how these representations are combined by means of the tensor product to support polyrepresentation, and discuss the case that representations of documents are not independent from a user point of view. Besides giving a principled framework for polyrepresentation, the potential of this approach is to capture and formalise the complex interdependent relationships that the different representations can have between each other.