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Representing User Navigation in XML Retrieval with Structural Summaries

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Advances in Information Retrieval (ECIR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5478))

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Abstract

This poster presents a novel way to represent user navigation in XML retrieval using collection statistics from XML summaries. Currently, developing user navigation models in XML retrieval is costly and the models are specific to collected user assessments. We address this problem by proposing summary navigation models which describe user navigation in terms of XML summaries. We develop our proposal using assessments collected in the interactive track at INEX 2006. Our preliminary results suggest that summary navigation models can represent user navigation in a way that is effective for evaluation and allows economic re-use of assessments for new tasks and collections.

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References

  1. Ali, M.S., Consens, M.P., Kazai, G., Lalmas, M.: Structural Relevance: A common basis for the evaluation of structured document retrieval. In: CIKM 2008, pp. 1153–1162 (2008)

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  2. Consens, M.P., Rizzolo, F., Vaisman, A.A.: AxPRE Summaries: Exploring the (Semi-)Structure of XML Web Collections. In: ICDE 2008, pp. 1519–1521 (2008)

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  3. Malik, S., Tombros, A., Larsen, B.: The interactive track at INEX 2006. In: Fuhr, N., Lalmas, M., Trotman, A. (eds.) INEX 2006. LNCS, vol. 4518, pp. 387–399. Springer, Heidelberg (2007)

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  4. Malik, S., Trotman, A., Lalmas, M., Fuhr, N.: Overview of INEX 2006. In: Fuhr, N., Lalmas, M., Trotman, A. (eds.) INEX 2006. LNCS, vol. 4518, pp. 1–11. Springer, Heidelberg (2007)

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  5. Ross, S.M.: Introduction to Probability Models. Academic Press, London (2003)

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© 2009 Springer-Verlag Berlin Heidelberg

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Ali, M.S., Consens, M.P., Larsen, B. (2009). Representing User Navigation in XML Retrieval with Structural Summaries. In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C. (eds) Advances in Information Retrieval. ECIR 2009. Lecture Notes in Computer Science, vol 5478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00958-7_73

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  • DOI: https://doi.org/10.1007/978-3-642-00958-7_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00957-0

  • Online ISBN: 978-3-642-00958-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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