NDLI: Structural relevance: a common basis for the evaluation of structured document retrieval (2008)

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Structural relevance: a common basis for the evaluation of structured document retrieval (2008)

Content Provider	CiteSeerX
Author	Ali, M. S. Kazai, Gabriella Consens, Mariano P.
Description	This paper presents a unified framework for the evaluation of a range of structured document retrieval (SDR) approaches and tasks. The framework is based on a model of tree retrieval, evaluated using a novel extension of the Structural Relevance (SR) measure. The measure replaces the assumption of independence in traditional information retrieval (IR) with a notion of redundancy that takes into account the user navigation inside documents while seeking relevant information. Unlike existing metrics for SDR, our proposed framework does not require the computation of an ideal ranking which has, thus far, prevented the practical application of such measures. Instead, SR builds on a Markovian model of user navigation that can be estimated through the use of structural summaries. The results of this paper (supported by experimental validation using INEX data) show that SR defined over a tree retrieval model can provide a common basis for the evaluation of SDR approaches across various structured search tasks. In CIKM’08
File Format	PDF
Language	English
Publisher Date	2008-01-01
Access Restriction	Open
Subject Keyword	Tree Retrieval Common Basis Search Task Novel Extension Experimental Validation Structural Relevance Tree Retrieval Model Structural Summary Markovian Model Structured Document Retrieval Inex Data Ideal Ranking Practical Application Relevant Information Sdr Approach Unified Framework Traditional Information Retrieval User Navigation
Content Type	Text
Resource Type	Article

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