Structural relevance

M S. Ali, Mariano P. Consens, Gabriella Kazai, Mounia Lalmas
2008 Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08  
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
more » ... nlike 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.
doi:10.1145/1458082.1458235 dblp:conf/cikm/AliCKL08 fatcat:ryejbjfxkvdbdkmfxhg7rl2xxi