Abstract
Queries over XML documents challenge search engines to return the most relevant XML components that satisfy the query concepts. In a previous work we described a component ranking algorithm that performed relatively well in INEX’03. In this paper we show an improvement to that algorithm by introducing a document pivot that compensates for missing terms statistics in small components. Using this new algorithm we achieved improvements of 30%-50% in the Mean Average Precision over the previous algorithm. We then describe a general mechanism to apply known Query Refinement algorithms from traditional IR on top of this component ranking algorithm and demonstrate an example such algorithm that achieved top results in INEX’04.
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© 2005 Springer-Verlag Berlin Heidelberg
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Mass, Y., Mandelbrod, M. (2005). Component Ranking and Automatic Query Refinement for XML Retrieval. In: Fuhr, N., Lalmas, M., Malik, S., Szlávik, Z. (eds) Advances in XML Information Retrieval. INEX 2004. Lecture Notes in Computer Science, vol 3493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424550_6
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DOI: https://doi.org/10.1007/11424550_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26166-7
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